system

Abstract

A system is provided.SOLUTION: A system including means for a user to register a family member via a communication terminal and agree to SNS cooperation and collection of an action log, means for the communication terminal to collect posts and position information of an SNS account of the user, encrypt the posts and the position information, and transmit the posts and the position information to a server, means for the server to analyze received data, extract an important event, and convert the important event into text in a diary form, and means for periodically distributing a generated diary to the communication terminal and allowing the user to view the diary.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] In modern society, it is becoming more common for family members to live apart, which can lead to a lack of communication in long-distance family relationships. This weakens family relationships, leading to problems such as being too busy to keep in touch and not being able to share daily happenings. Furthermore, infectious diseases can create physical distance, making it difficult to connect with family members. In these circumstances, there is a need for ways to maintain family affection and deepen bonds. However, traditional communication methods cannot adequately solve these issues, so new solutions are needed. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides the following system. It provides a means for a user to register family members via a communication terminal and agree to social networking site integration and the collection of activity logs. The system also includes a means for the communication terminal to collect posts and location information from the user's social networking site account, encrypt the collected information, and transmit it to a server. The server has a means for analyzing the received data, extracting important events, and converting them into diary-style text. The generated diary is periodically distributed to the communication terminal, where it can be viewed by the user. Furthermore, the system includes a scheduling means for periodically collecting data, and a means for the server to select data using privacy filtering and sentiment analysis, thereby providing a system that can deepen family ties while protecting the user's privacy.

[0006] "User" refers to a person who uses the system, who registers family members, and agrees to SNS integration and the collection of behavioral logs.

[0007] "Communication terminal" refers to a device used by a user, such as a smartphone or personal computer, that has the function of collecting and transmitting SNS data and location information.

[0008] "SNS" is an abbreviation for social networking service, and refers to a platform where users can post text, images, videos, etc. online and communicate.

[0009] An "action log" refers to data that records a user's location information and activity history, and is information used to understand the user's daily actions.

[0010] The term "server" refers to a central computer system for analyzing data and providing services to users, and is a device that stores and analyzes data and distributes generated diaries.

[0011] "Data collection" refers to the process by which a communication device periodically collects posts and location information from a user's social media account and sends it to a server.

[0012] "Encryption" refers to the technology of converting data into a format that cannot be deciphered by third parties in order to transmit it securely.

[0013] "Analysis" refers to the act of processing the data received by the server, extracting the necessary information, and analyzing it.

[0014] "Diary-style writing" refers to text generated by the server based on collected data, and is written in the form of a diary.

[0015] "Scheduling means" refers to procedures and mechanisms for systematically collecting and distributing data.

[0016] "Privacy filtering" refers to the process of removing or converting privacy-related information from data for the purpose of protecting personal information.

[0017] "Sentiment analysis" refers to the process of analyzing emotions and meanings from text or data, and is a technique for determining the emotions contained in the data.

[0018] "Delivery" refers to the process of sending diary-style text generated by the server to the user's communication terminal.

[0019] "Viewing" refers to the act of a user reading diary-style text received via a communication terminal. [Brief explanation of the drawings]

[0020] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3]FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0021] 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.

[0022] First, the terms used in the following description will be explained.

[0023] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0024] 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.

[0025] 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.

[0026] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0027] 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."

[0028] [First embodiment]

[0029] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0030] 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.

[0031] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0032] 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.

[0033] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0034] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0035] 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.

[0036] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0037] 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.

[0038] 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.

[0039] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0040] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0041] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, and a server.

[0042] User Roles

[0043] The user first registers family members using a communication device and agrees to the collection of social media links and activity logs, allowing the system to collect posts, location information, and other information from the user's social media account.

[0044] The role of communication terminals

[0045] The communication device periodically collects data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.) from the user's registered SNS account. The collected data is encrypted and sent to the server.

[0046] Server Roles

[0047] The server receives and analyzes the data sent from the communication device. Specifically, it extracts important events, analyzes emotions, and performs privacy filtering. The analyzed data is converted into diary-style text that records the family's daily life. The generated diary is periodically distributed to the user's communication device, where the user can view it.

[0048] Specific examples

[0049] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[0050] The communication device collects the post and location information, encrypts it, and sends it to the server.

[0051] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[0052] The server uses the extracted content and converts it into diary-style text.

[0053] The resulting diary entry would be "Today's family news: Dad had a picnic in the park and had a great time."

[0054] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[0055] The user can view the received diary and share the contents with the whole family to enjoy.

[0056] Privacy Protection

[0057] The server performs privacy filtering of the data to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. In addition, sentiment analysis is used to prioritize events that are deemed important to the user.

[0058] This system allows users to share daily happenings with family members who live far away, eliminating communication gaps and deepening family ties.

[0059] The processing flow will be explained below.

[0060] Step 1:

[0061] Users install the application via their communication device, create an account, register family members, and agree to social media integration and behavioral log collection on the privacy policy and data collection consent screen.

[0062] Step 2:

[0063] The communication terminal receives the consent information from the user, temporarily stores it in local storage, digitally signs the consent form, and sends it to the server.

[0064] Step 3:

[0065] The server securely stores the received consent data in a database, creates a family member list, and schedules data collection tasks for each member.

[0066] Step 4:

[0067] The communication device periodically collects data such as new posts, photos, and comments from the user's social media account based on a schedule. It also uses a GPS module to collect location information and record activity history.

[0068] Step 5:

[0069] The communication device temporarily stores the collected SNS data and location information in local storage, encrypts the data, and sends it to the server using a secure communication protocol (HTTPS).

[0070] Step 6:

[0071] The server deserializes the received data and stores it in a database. It then activates the AI ​​model and begins analyzing the collected data, specifically extracting important events, analyzing sentiment, and filtering privacy information.

[0072] Step 7:

[0073] The server then uses the analysis results to summarize the highlights and important events of the day, and uses natural language generation technology to convert the data into diary-style text.

[0074] Step 8:

[0075] The server filters out unwanted words and checks each entry to ensure privacy. It then outputs the completed diary entry in JSON or another appropriate format and prepares the diary entry data for transmission to the device.

[0076] Step 9:

[0077] The communication device periodically (e.g., weekly or monthly) receives diary-style reports. The received data is stored in local storage, and a notification function is used to notify the user that the diary has been updated.

[0078] Step 10:

[0079] Users open the app, view their new diary entry, and use the comments feature to share thoughts and additional memories with the whole family.

[0080] Example 1

[0081] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0082] With conventional systems, it is difficult for family members living far away from each other to smoothly share daily events, resulting in a lack of communication. In addition, handling data from the perspective of privacy protection is also an issue. Furthermore, since manually creating a diary takes time and effort, automation was required.

[0083] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0084] In this invention, the server includes means for extracting important events using natural language processing technology, performing sentiment analysis, and converting the events into diary-style text, means for removing personal information and specific keywords through privacy filtering, and means for generating text based on specified prompts using a generative AI model. This allows users to easily share daily events with family members who are far away, facilitating communication and deepening family ties.

[0085] A "communication terminal" is a device used by a user that has the function of collecting data from social networking services and transmitting encrypted data to a server.

[0086] A "social networking service" is an online platform where users post about their daily activities, and examples include social networking sites and applications.

[0087] An "action log" is data that records a user's location information and activity history.

[0088] A "server" is a computer system that receives data sent from a communication terminal and analyzes and processes it.

[0089] "Natural language processing technology" is a technology that enables computers to understand, analyze, and generate human language, and is used to analyze text data and perform sentiment analysis.

[0090] "Sentiment analysis" is a technology that extracts emotional elements (positive, negative, etc.) from posted text data.

[0091] "Privacy filtering" is a technology that removes personal information and specific keywords during data analysis.

[0092] A "generative AI model" is an artificial intelligence model that automatically generates sentences based on prompts, etc.

[0093] A "prompt" is an instruction or question entered into an AI model, and is the text that serves as the basis for the AI's response.

[0094] MODE FOR CARRYING OUT THE INVENTION

[0095] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, and a server.

[0096] User Roles

[0097] Users install a dedicated application on a communication device such as a smartphone or tablet and register family members. When registering, users agree to link with social networking services (SNS) and to the collection of activity logs. For example, users can enter their SNS account details within the app and authorize linking.

[0098] The role of communication terminals

[0099] The communication device periodically collects data from the social networking account registered by the user. This data is retrieved using the social networking application programming interface (API) to retrieve data such as posts, photos, comments, location information, and activity history. The collected data is then sent to a server in a secure state using encryption algorithms such as AES (Advanced Encryption Standard).

[0100] Server Roles

[0101] The server receives the data sent from the communication device, first decrypts it, and then analyzes it using Python scripts and the natural language processing (NLP) libraries "spaCy" or "NLTK." Specifically, it performs the following processes:

[0102] 1. Extraction of important events

[0103] 2. Sentiment analysis

[0104] 3. Privacy Filtering

[0105] For example, if a father posts, "Today I had a fun picnic at the park," the server extracts keywords such as "picnic" and "fun time" from the post. Sentiment analysis then classifies the post as a positive event. Privacy filtering removes personal information and certain prohibited words.

[0106] Diary-style text generation

[0107] The server uses the analyzed and filtered data to input prompt sentences into a generative AI model (e.g., GPT-3 (registered trademark)) to generate diary-style sentences. An example of a prompt sentence is as follows:

[0108] Use the posts below to create a diary-style piece of writing that will help strengthen family bonds.

[0109] Post: I had a fun picnic in the park today

[0110] Location: [latitude, longitude]

[0111] The generated sentence would be "Today's family news: Dad had a picnic in the park and had a great time."

[0112] Diary distribution and viewing

[0113] The communication device periodically receives diary-style text sent from the server and notifies the user of updates via push notifications. Users tap the notification to open the application, view the created diary, and share the contents with the whole family. Users can also share their thoughts using the app's comment function, further promoting communication.

[0114] This system allows users to easily share daily happenings with far-away family members, eliminating communication gaps and deepening family ties.

[0115] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0116] Processing Step Description

[0117] Step 1:

[0118] The user installs a dedicated application using a communication terminal and registers family members.

[0119] Input: Family member information, SNS account information

[0120] How it works: The application displays a user input form, and the user enters the names of family members and social media account information.

[0121] Output: Registered family member information, SNS account link permission

[0122] Step 2:

[0123] The communication terminal periodically collects data from registered SNS accounts.

[0124] Input: Registered SNS account information

[0125] How it works: It uses social networking site APIs to collect data such as posts, photos, comments, and location information. The collected data is encrypted using the AES encryption algorithm.

[0126] Output: Encrypted social media data

[0127] Step 3:

[0128] The communication terminal transmits the encrypted data to the server.

[0129] Input: Encrypted social media data

[0130] How it works: The communication device sends encrypted data to the server using the HTTPS protocol.

[0131] Output: Encrypted data sent to the server

[0132] Step 4:

[0133] The server decrypts the received data and stores it in a database.

[0134] Input: Encrypted social media data

[0135] How it works: The server decrypts the data using the AES decryption algorithm and stores it in the database.

[0136] Output: Decrypted social media data

[0137] Step 5:

[0138] The server analyzes the received data and extracts important events.

[0139] Input: Social media data stored in the database

[0140] How it works: It uses a Python script to extract important keywords and events using natural language processing libraries (spaCy and NLTK).

[0141] Output: Extracted significant events

[0142] Step 6:

[0143] The server performs the sentiment analysis.

[0144] Input: Extracted significant events

[0145] How it works: Using natural language processing technology (such as VADER), it analyzes sentiment from the content of posts.

[0146] Output: Sentiment label (positive, negative, etc.)

[0147] Step 7:

[0148] The server performs privacy filtering.

[0149] Input: Extracted important events, emotion labels

[0150] What it does: Uses a privacy filtering script to remove personal information and specific blacklist words from your data.

[0151] Output: Filtered data

[0152] Step 8:

[0153] The server generates diary-style text using a generative AI model.

[0154] Input: filtered data, prompt statement

[0155] How it works: A prompt sentence is fed into a generative AI model (e.g., GPT-3), which generates an appropriate diary-style sentence.

[0156] Output: Generated diary-style text

[0157] Step 9:

[0158] The communication terminal receives the created diary from the server and distributes it to the user.

[0159] Input: Generated diary-style text

[0160] Behavior: Diary entries received from the server are sent to the user as push notifications.

[0161] Output: Diary delivered to the user

[0162] Step 10:

[0163] The user can view the delivered diary and share it with family members.

[0164] Input: Published diary

[0165] How it works: Users tap the notification to open the application, view the diary entry, and share their thoughts using the in-app comment feature.

[0166] Output: Viewed and shared diary entries

[0167] Through these steps, users can easily share daily happenings with far-away family members, resolving communication gaps and deepening family ties.

[0168] (Application example 1)

[0169] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0170] In modern society, a lack of communication and a loss of connection between family members and customers is a problem. There is also a lack of ways for customers to effectively share their experiences in physical stores and deepen their bonds with each other and with store staff. This has led to issues such as a decline in customer satisfaction and repeat visits.

[0171] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0172] In this invention, the server includes: a means for a user to register family members or customers of a physical store via a communication terminal and agree to SNS integration and the collection of behavioral logs; a means for the communication terminal to collect posts and location information from the user's SNS account, encrypt the collected information, and transmit it to the server; a means for the server to analyze the received data, extract important events, and convert them into diary-style text or in-store experience records; and a means for periodically distributing the generated diary or experience records to the communication terminal and allowing the user to view the diary or experience records. This allows for deeper ties between family members who are far apart, effectively sharing customer experiences at physical stores, and strengthening relationships between customers and store staff.

[0173] 1. "User" refers to an individual or brick-and-mortar customer who uses the System.

[0174] 2. "Communication terminal" refers to a device used by a user, such as a smartphone, tablet, or computer, for connecting to SNS, collecting behavioral logs, and communicating data with the server.

[0175] 3. "SNS integration" refers to the process of linking a user's social networking service (SNS) account with the system and collecting data such as SNS posts, comments, and photos.

[0176] 4. "Behavior log" refers to data that records a user's daily behavior, including location information and activity history.

[0177] 5. "Encryption" refers to the technology of converting collected data into a format that cannot be easily deciphered by third parties in order to protect the data.

[0178] 6. "Server" refers to a computer system that receives, analyzes, and stores data sent from a communication terminal.

[0179] 7. "Important Event" means an event that is of particular interest or significance to users or store customers.

[0180] 8. "Diary-style writing" refers to opening sentences generated to record daily events based on data collected and analyzed by the server.

[0181] 9. "In-store experience record" refers to a document used to record and share the events and impressions experienced by customers in a physical store.

[0182] 10. "Periodic distribution" refers to sending the diary or experience records created at regular intervals to the communication device.

[0183] 11. "Privacy filtering" refers to the process of properly protecting personal and sensitive information and ensuring that unnecessary information is not included in diaries and experience records.

[0184] 12. "Sentiment analysis" refers to the technology of analyzing the emotional state of users or customers from collected data and extracting important events.

[0185] 13. "Natural language generation model" refers to an artificial intelligence technology that automatically generates sentences in a format that is easy for humans to understand, based on collected and analyzed data.

[0186] 14. "Notification function" refers to the function that notifies the user's communication device of the created diary or experience record.

[0187] This invention begins when a user registers family members or customers of a physical store via a communication device and agrees to social media integration and the collection of activity logs. The user then uses the device to collect posts and location information from their social media accounts. The collected data is encrypted on the device and sent to a server.

[0188] User Roles

[0189] First, the user sets up the following on the communication device:

[0190] 1. Registering family members or brick-and-mortar customers.

[0191] 2. Set up linking with your SNS account.

[0192] 3. I agree to the collection of behavioral logs.

[0193] This allows the system to collect posts, location information, activity history, and more from users' social media accounts.

[0194] The role of communication terminals

[0195] The communication terminal has the following responsibilities:

[0196] 1. Regular collection of SNS account data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.).

[0197] 2. Encryption of collected data (for example, using AES encryption).

[0198] 3. Sending the encrypted data to the server.

[0199] Server Roles

[0200] The server does the following:

[0201] 1. Receive and analyze data sent from the communication terminal.

[0202] 2. Extract key events, perform sentiment analysis, and privacy filtering (Software used: Natural Language Processing libraries (e.g., NLTK, TextBlob), generative AI models (e.g., GPT-3)).

[0203] 3. Based on the extracted content, it is converted into diary-style writing or a record of the in-store experience.

[0204] 4. The generated diary or experience record is periodically distributed to the user's communication device.

[0205] The following are examples of specific prompts that the server uses to analyze data and generate a diary:

[0206] "Generate a diary-style text based on the following information:

[0207] Username: user1

[0208] Posted by: I attended a new product launch today and it was so much fun!

[0209] Location: Store 1

[0210] Activity: New product launch event

[0211] output:"

[0212] Privacy Protection

[0213] The server performs privacy filtering of the data. To protect privacy, certain prohibited words and personal information are filtered out so that they are not included in the diary or experience log. Sentiment analysis is also used to prioritize events that are important to the user.

[0214] Specific examples

[0215] For example, if a user attends a product launch event at a brick-and-mortar store and posts about their experience on social media:

[0216] 1. The communication device collects the post and location information, encrypts it, and sends it to the server.

[0217] 2. The server analyzes the received data and extracts keywords such as "new product launch" and "fun."

[0218] 3. The server converts the extracted content into diary-style text.

[0219] 4. The generated diary entry will be "Today's experience record: I attended the new product launch event at store 1 and had a great time."

[0220] 5. The communication terminal periodically distributes the created diary and notifies the user of updates using the notification function.

[0221] This system allows users to effectively share daily happenings and experiences with family members or customers of physical stores, deepening communication and communicating the appeal of physical stores to more customers.

[0222] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0223] Step 1:

[0224] The user registers family members or customers of a physical store using a communication device and agrees to SNS integration and the collection of behavioral logs. This completes the initial setup for the user. Specifically, the user launches the dedicated app on the communication device, enters the required information on the registration screen, and agrees to SNS account integration. Input data includes user information and SNS authentication information, and the output is the account's initial setup completed state.

[0225] Step 2:

[0226] The communication device periodically collects posts, photos, comments, and location information from the user's social media account. The collected data is first temporarily stored within the communication device. The software used includes the social media API and location information acquisition API. The input data is each social media post and location information, and the output is the temporarily stored collected data.

[0227] Step 3:

[0228] The data collected by the communication terminal is encrypted using AES. An encryption library (e.g., Python's PyCrypto) is used to convert the data into a format that protects it from third parties. The input data is the temporarily stored collected data, and the output is the encrypted data.

[0229] Step 4:

[0230] Encrypted data is sent from the communication terminal to the server. HTTPS is used as the communication protocol. The input data is encrypted data, and the output is a notification to the server that data transmission has been completed.

[0231] Step 5:

[0232] The server analyzes the received data and extracts particularly important events. It uses a natural language processing library (e.g., NLTK, TextBlob) to analyze the post content and extract important keywords. The input data is the received encrypted data, and the output is a set of analyzed meaningful keywords.

[0233] Step 6:

[0234] The server performs sentiment analysis on the parsed data, using libraries such as TextBlob to determine the positive and negative sentiment of the post. The input data is a set of important keywords, and the output is the sentiment analysis results.

[0235] Step 7:

[0236] The server performs privacy filtering, applying algorithms to filter out specific NG words and personal information, eliminating information that needs to be protected. The input data is the sentiment analysis result, and the output is the filtered data.

[0237] Step 8:

[0238] The server generates diary-style text based on the filtered data. It uses a generative AI model (e.g., GPT-3) to create text in a format that is easy for humans to understand. The server generates text using prompts such as the following:

[0239] "Generate a diary-style text based on the following information:

[0240] Username: user1

[0241] Posted by: I attended a new product launch today and it was so much fun!

[0242] Location: Store 1

[0243] Activity: New product launch event

[0244] output:"

[0245] The generated sentence would be "Today's experience record: I attended the new product launch event at store 1 and had a great time."

[0246] Step 9:

[0247] The server periodically distributes the generated diary-style text or experience records to the communication device. The distribution method is to notify the user's communication device of updates using a notification API. The input data is the generated text, and the output is a notification of distribution completion to the communication device.

[0248] Step 10:

[0249] The user views the diary or experience record received on the communication device. After receiving the notification, the user launches the app and checks the content. The input data is the delivered diary or experience record, and the output is the user's browsing behavior.

[0250] Through the above process, users can effectively share everyday events and experiences with family members or customers in physical stores.

[0251] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0252] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine.

[0253] User Roles

[0254] First, users install the application on their communication device and create an account. Next, they register their family members and agree to social media integration and the collection of behavioral logs on the privacy policy and data collection consent screen. The emotion engine recognizes emotions from users' comments and posts and sends them to the server.

[0255] The role of communication terminals

[0256] The communication device periodically collects data from the user's registered social media account (posts, photos, comments, etc.), behavioral logs (location information, activity history, etc.), and emotion data from the emotion engine. The collected data is encrypted and sent to a server.

[0257] Server Roles

[0258] The server receives and analyzes the data sent from the communication device. Specifically, it extracts important events, analyzes emotions, and performs privacy filtering. The analyzed data is converted into diary-style text that records the family's daily life. The generated diary is periodically distributed to the user's communication device, where the user can view it.

[0259] The role of the emotional engine

[0260] The emotion engine analyzes emotions from users' social media posts and activity logs and sends the results to a server. The emotion engine uses natural language processing and voice recognition technologies to determine the user's emotions. This enables prioritization of events included in the diary and expressing rich emotions.

[0261] Specific examples

[0262] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[0263] The communication device collects the posts and location information, and an emotion engine analyzes the emotion of "fun."

[0264] The collected data, along with the emotion engine data, is encrypted and sent to a server.

[0265] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[0266] The server uses the extracted content and emotion data to convert the text into diary format.

[0267] The resulting diary entry becomes a sentence that reflects emotion, such as "Today's family news: Dad had a picnic in the park and had a great time," and is expressed with rich emotion using an emotion engine.

[0268] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[0269] The user can view the received diary and share the contents with the whole family to enjoy.

[0270] Privacy Protection

[0271] The server performs privacy filtering of the data to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. Sentiment analysis is also used to prioritize events that are deemed important to the user.

[0272] This system allows users to share daily events with family members who live far away, eliminating communication gaps and deepening family bonds. The introduction of an emotion engine makes diary entries more emotionally rich, further enhancing the experience of sharing with the whole family.

[0273] The processing flow will be explained below.

[0274] Step 1:

[0275] Users install the application via their communication device, create an account, register family members, and agree to the use of social networking services, behavioral log collection, and the emotion engine on the privacy policy and data collection consent screen.

[0276] Step 2:

[0277] The communication terminal receives the consent information from the user, temporarily stores it in local storage, digitally signs the consent form, and sends it to the server.

[0278] Step 3:

[0279] The server securely stores the received consent data in a database, creates a family member list, and schedules data collection tasks for each member.

[0280] Step 4:

[0281] The communication device periodically collects data such as new posts, photos, and comments from the user's social media account based on a schedule. It also uses a GPS module to collect location information and record activity history.

[0282] Step 5:

[0283] The communication device temporarily stores the collected SNS data, location information, and emotion data generated by the emotion engine in local storage. The data is then encrypted and sent to the server using a secure communication protocol (HTTPS).

[0284] Step 6:

[0285] The server deserializes the received data and stores it in a database. It then activates the AI ​​model and begins analyzing the collected data, specifically extracting important events, analyzing sentiment, and filtering privacy information.

[0286] Step 7:

[0287] The emotion engine analyzes emotions from social media posts and behavioral logs. For example, it analyzes the emotion "fun" from a post such as "I had a fun picnic in the park today." It then sends the emotional information contained in the event to the server.

[0288] Step 8:

[0289] The server then summarizes the highlights and important events of the day based on the analysis results, converts the data into diary-style text using natural language generation technology, and adds emotional expressions to the text using emotion data provided by the emotion engine.

[0290] Step 9:

[0291] The server filters out unwanted words and checks each entry to ensure privacy. It then outputs the completed diary entry in JSON or another appropriate format and prepares the diary entry data for transmission to the device.

[0292] Step 10:

[0293] The communication device receives diary-style reports periodically (e.g., weekly or monthly). The received data is stored in local storage, and the notification function notifies the user that the diary has been updated.

[0294] Step 11:

[0295] Users open the app, view their new diary entry, and use the comments feature to share their thoughts and additional memories with the whole family. Analysis by the emotion engine helps make the diary entry more moving and relatable.

[0296] Example 2

[0297] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0298] In modern society, when family members live far apart, there is a lack of daily communication, which can weaken family ties. Conventional social media and messaging apps focus on one-way information sharing, making it difficult for all family members to share daily events and experiences in an emotionally rich way.

[0299] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0300] In this invention, the server includes: a means for a user to register family members via a communication terminal and agree to SNS integration and collection of behavior logs; a means for the communication terminal to collect posts and location information from the user's SNS account, encrypt them, and transmit them to the server; a means for the server to analyze the received data, extract important events using natural language processing technology, and convert them into diary-style text; a means for using a generative AI model to generate emotional text that reflects emotional data; and a means for periodically delivering the generated diary to the communication terminal and allowing the user to view the diary. This enables emotionally rich daily events to be shared among family members who are far apart, deepening family ties.

[0301] A "user" refers to an individual who uses this system and is registered in the system as a family member via a communication terminal.

[0302] A "communication terminal" is a device used by a user, such as a smartphone or tablet, that collects posts and location information from SNS accounts and provides a means to send data to a server.

[0303] "SNS integration" is a mechanism that connects users' SNS accounts to the system to collect and share data such as posts, comments, and location information.

[0304] An "action log" records behavioral data such as a user's location information and activity history.

[0305] The "server" is a central system device that analyzes data received from communication devices, extracts important events, generates emotive diary-style text using a generative AI model, and periodically distributes it to communication devices.

[0306] "Natural language processing technology" refers to technology used by the server to extract important events and emotions from the data received, and includes NLP libraries, etc.

[0307] A "generative AI model" is an artificial intelligence model used to generate emotive sentences that reflect emotional data, such as GPT-3.

[0308] "Privacy filtering" is a method of properly protecting personal information by filtering out personal information and specific prohibited words from the data received by the server.

[0309] "Sentiment analysis" is a technology in which a server or emotion engine analyzes emotions from user posts and behavioral logs, and reflects the results in data selection and diary generation.

[0310] "Diary-style writing" is writing that uses a server-generated AI model to express the user's daily life events in an emotional way, and is shared among family members.

[0311] "Periodic delivery" means that the server transmits the diary-style texts it has created to the communication terminal according to a specific schedule.

[0312] The present invention relates to a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine.

[0313] User Roles

[0314] First, users install the application on their communication device and create an account. Next, they register their family members and agree to the privacy policy and data collection. After that, they start using the system by agreeing to social media integration and the collection of behavioral logs.

[0315] The role of communication terminals

[0316] The communication device periodically collects data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.) from the user's registered social media account. The collected data is encrypted using AES encryption technology within the device and sent to the server via the HTTPS protocol.

[0317] Server Roles

[0318] The server receives and analyzes the data sent from the communication device. This analysis process uses natural language processing technology (e.g., NLTK or SpaCy) and sentiment analysis algorithms. The server extracts important events and converts them into diary-style text. For example, if one day a user posts, "I had a fun picnic in the park today," the server analyzes this post and location information, extracts the keywords "picnic" and "fun," and uses a generative AI model (e.g., GPT-3) to generate an emotionally rich text such as, "Today's family news: Dad had a picnic in the park and had a great time."

[0319] The role of the emotional engine

[0320] The emotion engine analyzes emotions from users' social media posts and activity logs. It uses natural language processing and speech recognition technologies to determine the user's emotions. This allows it to prioritize events included in the diary and express them in a rich, emotional way.

[0321] Privacy Protection

[0322] The server performs privacy filtering to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. In addition, sentiment analysis is used to prioritize events that are deemed important to the user.

[0323] Specific examples

[0324] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[0325] The communication device collects the posts and location information, and an emotion engine analyzes the emotion of "fun."

[0326] The collected data is encrypted and sent to a server.

[0327] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[0328] The server uses the extracted content and emotion data to convert the text into diary format.

[0329] The resulting diary entry contains sentences that reflect emotions, such as "Today's family news: Dad had a picnic in the park and had a great time."

[0330] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[0331] The user can view the received diary and share the contents with the whole family to enjoy.

[0332] Prompt Sentence Examples

[0333] Here are some example prompts to input to a generative AI model:

[0334] "We have a system that allows far-flung family members to share daily events and deepen their bonds. This system includes a user, a communication device, a server, and an emotion engine. The user installs the app on their communication device and agrees to social media integration and the collection of their behavioral logs. The communication device collects data, encrypts it, and sends it to the server. The server analyzes the data and generates diary-style text. The emotion engine analyzes emotions and reflects them in the diary. Finally, the generated diary is shared among the family."

[0335] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0336] Step 1:

[0337] A user installs the application on a communication device, creates an account, and registers family members. The information entered here includes the user's personal information, information about family members, and information about SNS account connections. This creates a user database.

[0338] Step 2:

[0339] The user confirms their consent to the privacy policy and data collection, and agrees to social media integration and the collection of behavioral logs. This officially begins use of the service. The information entered is the user's consent information.

[0340] Step 3:

[0341] The communication device periodically collects posted data, photos, comments, location information, and activity history from the user's SNS account. This data becomes input data, and the data is protected using encryption technology (e.g., AES encryption), which generates encrypted data.

[0342] Specifically, the communication device calls SNS APIs (e.g., Facebook API, Twitter API) to obtain the user's latest posts and location information. The obtained data is first encrypted; it is not used as is.

[0343] Step 4:

[0344] The communication terminal periodically transmits the encrypted data to the server. Specifically, the communication terminal transmits encrypted data packets using the HTTPS protocol.

[0345] Step 5:

[0346] The server decrypts the encrypted data received from the communication terminal and analyzes it. The main part of the analysis is performed using natural language processing (NLP) technology to extract new events and their emotions.

[0347] Specifically, the server uses Python NLP libraries (e.g., NLTK or SpaCy) to extract keywords and sentiment from posts. The input data for this analysis process is the decoded post data, and the analysis results are key events and sentiment data.

[0348] Step 6:

[0349] The server uses a generative AI model (e.g., GPT-3) to generate diary-style sentences based on the extracted data. A prompt sentence is input into the generative AI model, causing it to output emotive sentences.

[0350] Specifically, the generative AI model is fed the prompt "Today's family news: Dad had a picnic in the park and had a great time" along with the analyzed emotion data. The output is an emotive diary-style text.

[0351] Step 7:

[0352] The server sets up a scheduling task (e.g., a CRON job) to periodically distribute the created diary to the communication device. Based on the set schedule, the diary is pushed to the communication device.

[0353] Step 8:

[0354] The communication terminal notifies the user of the received diary entry and provides an interface for the user to view the diary entry. The input data is the diary entry data received from the server, and the output is the diary entry displayed on the user's terminal.

[0355] Specifically, the device receives a push notification using a notification service such as Firebase Cloud Messaging (FCM) to notify the user that a new diary entry has been delivered. When the user taps the notification, the app opens and the diary entry is displayed.

[0356] Step 9:

[0357] The user can view the diary delivered to the communication device and share it with the whole family. The input of this step is the diary data delivered to the device, and the output is the user's viewing and sharing.

[0358] (Application example 2)

[0359] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0360] In modern society, it is difficult for family members who live far away to share daily events and deepen emotional connections. In particular, there is a need to centralize individual posts and data from social networking sites and photo sharing services and provide them in diary format, so that all family members can have common topics and enjoy emotionally rich interactions. Furthermore, there is a need to perform emotion analysis and generate diaries that reflect users' emotions richly while protecting their privacy.

[0361] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: a means for a user to register family members via a communication terminal and agree to data linking and activity log collection; a means for the communication terminal to collect posts and location information from the user's data account, encrypt the collected information, and transmit it to the server; a means for the server to analyze the received data, extract important events, and convert them into diary-style text; a means for periodically distributing the generated diary to the communication terminal and allowing the user to view the diary; a means for generating diary-style text using a natural language generation model; a means for the communication terminal to analyze emotions and transmit the emotion to the server; a means for the server to generate a diary containing emotional expressions based on the emotion analysis data; and a means for notifying the user of the generated diary using a notification function. This allows distant family members to share emotionally charged daily events, alleviating communication gaps and deepening family ties. Furthermore, user privacy is protected, and important events are expressed emotionally, allowing all family members to share common topics and interact with each other.

[0362] "User" refers to an individual who uses this system to share information among family members.

[0363] A "communication terminal" is a device used by a user, such as a smartphone or tablet, that has data collection and notification functions.

[0364] "Family members" refers to people with whom information is shared, such as relatives or close friends, who are registered by the user.

[0365] "Data integration" refers to obtaining information from social media and related accounts and handling it centrally.

[0366] "Behavior log" refers to data such as a user's movement history and activity history.

[0367] "Encryption" is a method of ensuring security by converting data to be transmitted into a format that cannot be understood by third parties.

[0368] A "server" is a central system that analyzes and processes received data and delivers necessary information to users.

[0369] A "natural language generation model" refers to AI technology for generating natural-sounding sentences based on given data.

[0370] "Sentiment analysis" is a technology that extracts and analyzes emotions from user posts and behavioral data.

[0371] "Emotionally rich expression" is a text generation technology that reflects the results of emotion analysis and produces more human-like expressions.

[0372] The "notification function" is a function that notifies the user whenever new information or diary entries are created.

[0373] "Privacy filtering" is a technology that automatically detects and removes personal information and inappropriate content.

[0374] "Significant events" refer to notable events or events that have a strong emotional impact on a user's daily life.

[0375] This invention is a system for sharing daily events among family members who are far apart and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine. Specific embodiments are described below.

[0376] User Roles

[0377] Users first install the application on their communication device and create an account. Then, they register family members and agree to the privacy policy and data collection. By agreeing to SNS integration, the device will be able to collect SNS account data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.).

[0378] The role of communication terminals

[0379] The communication device periodically collects data from the user's registered social media account, behavioral logs, and emotional data from the emotion engine. This data is encrypted and sent to the server. For example, a typical smartphone such as an Android (registered trademark) device or an iPhone (registered trademark) can be used as the communication device.

[0380] Server Roles

[0381] The server receives and analyzes data sent from the communication device. Specifically, it extracts important events, analyzes sentiment, and filters personal information. The analyzed data is converted into diary-style text using a natural language generation model. This text is periodically distributed to the user's communication device, and updates are notified to the user via a notification function.

[0382] The role of the emotional engine

[0383] The emotion engine analyzes emotions from users' social media posts and behavioral logs and sends the results to a server. This engine uses natural language processing and speech recognition technology to determine the user's emotions. For example, it can use the Hugging Face Transformers library.

[0384] Hardware and software used

[0385] Hardware: Smartphones, tablets, smart glasses

[0386] Software: Android SDK, iOS SDK, Twitter API, Facebook Graph API, Python, requests, nltk, pandas, Transformers by Hugging Face, GPT-3 / GPT-4 (registered trademark), Firebase Cloud Messaging

[0387] Specific examples

[0388] For example, suppose a family member posts, "Today we had a fun picnic in the park." In this case, the emotion engine analyzes the post as "fun," and the data is encrypted and sent to the server. Based on the post and the analysis results, the server extracts keywords such as "park," "picnic," and "fun," and uses these to generate emotionally rich diary-style text. This generation utilizes natural language generation models such as GPT-3 and GPT-4.

[0389] Prompt Sentence Examples

[0390] "Important events: park, picnic.\nEmotions: fun time\nGenerate sentences in diary format."

[0391] This system allows users to share their family's daily happenings and enjoy emotional communication even when they are far apart. Furthermore, privacy is protected, so users can use it with peace of mind.

[0392] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0393] Step 1:

[0394] The user installs the application using a communication device and creates an account. They also register family members and agree to the privacy policy and data collection. This enables data integration, and SNS integration and activity log collection begin. The input is family member information and consent details, and the output is the family member's registration data and consent information.

[0395] Step 2:

[0396] The communication device periodically collects posts from users' social media accounts, location information, and activity logs. Specifically, it acquires data using the Twitter API and Facebook Graph API. The input is post data and location information from the social media accounts, and the output is the collected data. The collected data is encrypted and sent to a server for further processing.

[0397] Step 3:

[0398] The communication device uses an emotion engine to analyze emotions from collected SNS posts and behavioral logs. For example, emotion analysis is performed using the Hugging Face Transformers library. The input is the data collected in step 2, and the output is the analyzed emotion data. The emotion data is also encrypted and sent to the server.

[0399] Step 4:

[0400] The server receives the data sent from the communication terminal. Specifically, it receives the data and performs the process of decompressing and decrypting it. The input is the encrypted collected data and emotion data, and the output is the decompressed data. This prepares the data for analysis.

[0401] Step 5:

[0402] The server analyzes the received data, extracts important events, and generates diary-style sentences using a natural language generation model based on the emotion data. Specifically, it uses pandas to analyze the data, and then uses GPT-3 or GPT-4 to generate sentences using the extracted results and emotion data. The input is the various received data, and the output is diary-style sentences.

[0403] Step 6:

[0404] The server periodically distributes the created diary entries to the communication device and notifies the user. For example, notifications are sent using Firebase Cloud Messaging. The input is the created diary-style text, and the output is a notification sent to the user's communication device. This allows the user to immediately check new diary entries.

[0405] Step 7:

[0406] The user can view the created diary using a communication terminal. This allows family members to share daily events and enjoy emotional communication. The input is diary-style text sent from the server, and the output is the user's viewing behavior.

[0407] Through the above processing steps, the present invention provides a specific system for emotionally sharing everyday events among family members living far apart and deepening ties.

[0408] 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.

[0409] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0410] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0411] [Second embodiment]

[0412] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0413] 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.

[0414] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0415] 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.

[0416] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0417] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0418] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0419] 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.

[0420] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0421] 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.

[0422] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0423] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0424] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, and a server.

[0425] User Roles

[0426] The user first registers family members using a communication device and agrees to the collection of social media links and activity logs, allowing the system to collect posts, location information, and other information from the user's social media account.

[0427] The role of communication terminals

[0428] The communication device periodically collects data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.) from the user's registered SNS account. The collected data is encrypted and sent to the server.

[0429] Server Roles

[0430] The server receives and analyzes the data sent from the communication device. Specifically, it extracts important events, analyzes emotions, and performs privacy filtering. The analyzed data is converted into diary-style text that records the family's daily life. The generated diary is periodically distributed to the user's communication device, where the user can view it.

[0431] Specific examples

[0432] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[0433] The communication device collects the post and location information, encrypts it, and sends it to the server.

[0434] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[0435] The server uses the extracted content and converts it into diary-style text.

[0436] The resulting diary entry would be "Today's family news: Dad had a picnic in the park and had a great time."

[0437] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[0438] The user can view the received diary and share the contents with the whole family to enjoy.

[0439] Privacy Protection

[0440] The server performs privacy filtering of the data to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. In addition, sentiment analysis is used to prioritize events that are deemed important to the user.

[0441] This system allows users to share daily happenings with family members who live far away, eliminating communication gaps and deepening family ties.

[0442] The processing flow will be explained below.

[0443] Step 1:

[0444] Users install the application via their communication device, create an account, register family members, and agree to social media integration and behavioral log collection on the privacy policy and data collection consent screen.

[0445] Step 2:

[0446] The communication terminal receives the consent information from the user, temporarily stores it in local storage, digitally signs the consent form, and sends it to the server.

[0447] Step 3:

[0448] The server securely stores the received consent data in a database, creates a family member list, and schedules data collection tasks for each member.

[0449] Step 4:

[0450] The communication device periodically collects data such as new posts, photos, and comments from the user's social media account based on a schedule. It also uses a GPS module to collect location information and record activity history.

[0451] Step 5:

[0452] The communication device temporarily stores the collected SNS data and location information in local storage, encrypts the data, and sends it to the server using a secure communication protocol (HTTPS).

[0453] Step 6:

[0454] The server deserializes the received data and stores it in a database. It then activates the AI ​​model and begins analyzing the collected data, specifically extracting important events, analyzing sentiment, and filtering privacy information.

[0455] Step 7:

[0456] The server then uses the analysis results to summarize the highlights and important events of the day, and uses natural language generation technology to convert the data into diary-style text.

[0457] Step 8:

[0458] The server filters out unwanted words and checks each entry to ensure privacy. It then outputs the completed diary entry in JSON or another appropriate format and prepares the diary entry data for transmission to the device.

[0459] Step 9:

[0460] The communication device periodically (e.g., weekly or monthly) receives diary-style reports. The received data is stored in local storage, and a notification function is used to notify the user that the diary has been updated.

[0461] Step 10:

[0462] Users open the app, view their new diary entry, and use the comments feature to share thoughts and additional memories with the whole family.

[0463] Example 1

[0464] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0465] With conventional systems, it is difficult for family members living far away from each other to smoothly share daily events, resulting in a lack of communication. In addition, handling data from the perspective of privacy protection is also an issue. Furthermore, since manually creating a diary takes time and effort, automation was required.

[0466] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0467] In this invention, the server includes means for extracting important events using natural language processing technology, performing sentiment analysis, and converting the events into diary-style text, means for removing personal information and specific keywords through privacy filtering, and means for generating text based on specified prompts using a generative AI model. This allows users to easily share daily events with family members who are far away, facilitating communication and deepening family ties.

[0468] A "communication terminal" is a device used by a user that has the function of collecting data from social networking services and transmitting encrypted data to a server.

[0469] A "social networking service" is an online platform where users post about their daily activities, and examples include social networking sites and applications.

[0470] An "action log" is data that records a user's location information and activity history.

[0471] A "server" is a computer system that receives data sent from a communication terminal and analyzes and processes it.

[0472] "Natural language processing technology" is a technology that enables computers to understand, analyze, and generate human language, and is used to analyze text data and perform sentiment analysis.

[0473] "Sentiment analysis" is a technology that extracts emotional elements (positive, negative, etc.) from posted text data.

[0474] "Privacy filtering" is a technology that removes personal information and specific keywords during data analysis.

[0475] A "generative AI model" is an artificial intelligence model that automatically generates sentences based on prompts, etc.

[0476] A "prompt" is an instruction or question entered into an AI model, and is the text that serves as the basis for the AI's response.

[0477] MODE FOR CARRYING OUT THE INVENTION

[0478] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, and a server.

[0479] User Roles

[0480] Users install a dedicated application on a communication device such as a smartphone or tablet and register family members. When registering, users agree to link with social networking services (SNS) and to the collection of activity logs. For example, users can enter their SNS account details within the app and authorize linking.

[0481] The role of communication terminals

[0482] The communication device periodically collects data from the social networking account registered by the user. This data is retrieved using the social networking application programming interface (API) to retrieve data such as posts, photos, comments, location information, and activity history. The collected data is then sent to a server in a secure state using encryption algorithms such as AES (Advanced Encryption Standard).

[0483] Server Roles

[0484] The server receives the data sent from the communication device, first decrypts it, and then analyzes it using Python scripts and the natural language processing (NLP) libraries "spaCy" or "NLTK." Specifically, it performs the following processes:

[0485] 1. Extraction of important events

[0486] 2. Sentiment analysis

[0487] 3. Privacy Filtering

[0488] For example, if a father posts, "Today I had a fun picnic at the park," the server extracts keywords such as "picnic" and "fun time" from the post. Sentiment analysis then classifies the post as a positive event. Privacy filtering removes personal information and certain prohibited words.

[0489] Diary-style text generation

[0490] The server uses the analyzed and filtered data to input prompts into a generative AI model (e.g., GPT-3) to generate diary-style text. Examples of prompts include:

[0491] Use the posts below to create a diary-style piece of writing that will help strengthen family bonds.

[0492] Post: I had a fun picnic in the park today

[0493] Location: [latitude, longitude]

[0494] The generated sentence would be "Today's family news: Dad had a picnic in the park and had a great time."

[0495] Diary distribution and viewing

[0496] The communication device periodically receives diary-style text sent from the server and notifies the user of updates via push notifications. Users tap the notification to open the application, view the created diary, and share the contents with the whole family. Users can also share their thoughts using the app's comment function, further promoting communication.

[0497] This system allows users to easily share daily happenings with far-away family members, eliminating communication gaps and deepening family ties.

[0498] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0499] Processing Step Description

[0500] Step 1:

[0501] The user installs a dedicated application using a communication terminal and registers family members.

[0502] Input: Family member information, SNS account information

[0503] How it works: The application displays a user input form, and the user enters the names of family members and social media account information.

[0504] Output: Registered family member information, SNS account link permission

[0505] Step 2:

[0506] The communication terminal periodically collects data from registered SNS accounts.

[0507] Input: Registered SNS account information

[0508] How it works: It uses social networking site APIs to collect data such as posts, photos, comments, and location information. The collected data is encrypted using the AES encryption algorithm.

[0509] Output: Encrypted social media data

[0510] Step 3:

[0511] The communication terminal transmits the encrypted data to the server.

[0512] Input: Encrypted social media data

[0513] How it works: The communication device sends encrypted data to the server using the HTTPS protocol.

[0514] Output: Encrypted data sent to the server

[0515] Step 4:

[0516] The server decrypts the received data and stores it in a database.

[0517] Input: Encrypted social media data

[0518] How it works: The server decrypts the data using the AES decryption algorithm and stores it in the database.

[0519] Output: Decrypted social media data

[0520] Step 5:

[0521] The server analyzes the received data and extracts important events.

[0522] Input: Social media data stored in the database

[0523] How it works: It uses a Python script to extract important keywords and events using natural language processing libraries (spaCy and NLTK).

[0524] Output: Extracted significant events

[0525] Step 6:

[0526] The server performs the sentiment analysis.

[0527] Input: Extracted significant events

[0528] How it works: Using natural language processing technology (such as VADER), it analyzes sentiment from the content of posts.

[0529] Output: Sentiment label (positive, negative, etc.)

[0530] Step 7:

[0531] The server performs privacy filtering.

[0532] Input: Extracted important events, emotion labels

[0533] What it does: Uses a privacy filtering script to remove personal information and specific blacklist words from your data.

[0534] Output: Filtered data

[0535] Step 8:

[0536] The server generates diary-style text using a generative AI model.

[0537] Input: filtered data, prompt statement

[0538] How it works: A prompt sentence is fed into a generative AI model (e.g., GPT-3), which generates an appropriate diary-style sentence.

[0539] Output: Generated diary-style text

[0540] Step 9:

[0541] The communication terminal receives the created diary from the server and distributes it to the user.

[0542] Input: Generated diary-style text

[0543] Behavior: Diary entries received from the server are sent to the user as push notifications.

[0544] Output: Diary delivered to the user

[0545] Step 10:

[0546] The user can view the delivered diary and share it with family members.

[0547] Input: Published diary

[0548] How it works: Users tap the notification to open the application, view the diary entry, and share their thoughts using the in-app comment feature.

[0549] Output: Viewed and shared diary entries

[0550] Through these steps, users can easily share daily happenings with far-away family members, resolving communication gaps and deepening family ties.

[0551] (Application example 1)

[0552] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0553] In modern society, a lack of communication and a loss of connection between family members and customers is a problem. There is also a lack of ways for customers to effectively share their experiences in physical stores and deepen their bonds with each other and with store staff. This has led to issues such as a decline in customer satisfaction and repeat visits.

[0554] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0555] In this invention, the server includes: a means for a user to register family members or customers of a physical store via a communication terminal and agree to SNS integration and the collection of behavioral logs; a means for the communication terminal to collect posts and location information from the user's SNS account, encrypt the collected information, and transmit it to the server; a means for the server to analyze the received data, extract important events, and convert them into diary-style text or in-store experience records; and a means for periodically distributing the generated diary or experience records to the communication terminal and allowing the user to view the diary or experience records. This allows for deeper ties between family members who are far apart, effectively sharing customer experiences at physical stores, and strengthening relationships between customers and store staff.

[0556] 1. "User" refers to an individual or brick-and-mortar customer who uses the System.

[0557] 2. "Communication terminal" refers to a device used by a user, such as a smartphone, tablet, or computer, for connecting to SNS, collecting behavioral logs, and communicating data with the server.

[0558] 3. "SNS integration" refers to the process of linking a user's social networking service (SNS) account with the system and collecting data such as SNS posts, comments, and photos.

[0559] 4. "Behavior log" refers to data that records a user's daily behavior, including location information and activity history.

[0560] 5. "Encryption" refers to the technology of converting collected data into a format that cannot be easily deciphered by third parties in order to protect the data.

[0561] 6. "Server" refers to a computer system that receives, analyzes, and stores data sent from a communication terminal.

[0562] 7. "Important Event" means an event that is of particular interest or significance to users or store customers.

[0563] 8. "Diary-style writing" refers to opening sentences generated to record daily events based on data collected and analyzed by the server.

[0564] 9. "In-store experience record" refers to a document used to record and share the events and impressions experienced by customers in a physical store.

[0565] 10. "Periodic distribution" refers to sending the diary or experience records created at regular intervals to the communication device.

[0566] 11. "Privacy filtering" refers to the process of properly protecting personal and sensitive information and ensuring that unnecessary information is not included in diaries and experience records.

[0567] 12. "Sentiment analysis" refers to the technology of analyzing the emotional state of users or customers from collected data and extracting important events.

[0568] 13. "Natural language generation model" refers to an artificial intelligence technology that automatically generates sentences in a format that is easy for humans to understand, based on collected and analyzed data.

[0569] 14. "Notification function" refers to the function that notifies the user's communication device of the created diary or experience record.

[0570] This invention begins when a user registers family members or customers of a physical store via a communication device and agrees to social media integration and the collection of activity logs. The user then uses the device to collect posts and location information from their social media accounts. The collected data is encrypted on the device and sent to a server.

[0571] User Roles

[0572] First, the user sets up the following on the communication device:

[0573] 1. Registering family members or brick-and-mortar customers.

[0574] 2. Set up linking with your SNS account.

[0575] 3. I agree to the collection of behavioral logs.

[0576] This allows the system to collect posts, location information, activity history, and more from users' social media accounts.

[0577] The role of communication terminals

[0578] The communication terminal has the following responsibilities:

[0579] 1. Regular collection of SNS account data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.).

[0580] 2. Encryption of collected data (for example, using AES encryption).

[0581] 3. Sending the encrypted data to the server.

[0582] Server Roles

[0583] The server does the following:

[0584] 1. Receive and analyze data sent from the communication terminal.

[0585] 2. Extract key events, perform sentiment analysis, and privacy filtering (Software used: Natural Language Processing libraries (e.g., NLTK, TextBlob), generative AI models (e.g., GPT-3)).

[0586] 3. Based on the extracted content, it is converted into diary-style writing or a record of the in-store experience.

[0587] 4. The generated diary or experience record is periodically distributed to the user's communication device.

[0588] The following are examples of specific prompts that the server uses to analyze data and generate a diary:

[0589] "Generate a diary-style text based on the following information:

[0590] Username: user1

[0591] Posted by: I attended a new product launch today and it was so much fun!

[0592] Location: Store 1

[0593] Activity: New product launch event

[0594] output:"

[0595] Privacy Protection

[0596] The server performs privacy filtering of the data. To protect privacy, certain prohibited words and personal information are filtered out so that they are not included in the diary or experience log. Sentiment analysis is also used to prioritize events that are important to the user.

[0597] Specific examples

[0598] For example, if a user attends a product launch event at a brick-and-mortar store and posts about their experience on social media:

[0599] 1. The communication device collects the post and location information, encrypts it, and sends it to the server.

[0600] 2. The server analyzes the received data and extracts keywords such as "new product launch" and "fun."

[0601] 3. The server converts the extracted content into diary-style text.

[0602] 4. The generated diary entry will be "Today's experience record: I attended the new product launch event at store 1 and had a great time."

[0603] 5. The communication terminal periodically distributes the created diary and notifies the user of updates using the notification function.

[0604] This system allows users to effectively share daily happenings and experiences with family members or customers of physical stores, deepening communication and communicating the appeal of physical stores to more customers.

[0605] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0606] Step 1:

[0607] The user registers family members or customers of a physical store using a communication device and agrees to SNS integration and the collection of behavioral logs. This completes the initial setup for the user. Specifically, the user launches the dedicated app on the communication device, enters the required information on the registration screen, and agrees to SNS account integration. Input data includes user information and SNS authentication information, and the output is the account's initial setup completed state.

[0608] Step 2:

[0609] The communication device periodically collects posts, photos, comments, and location information from the user's social media account. The collected data is first temporarily stored within the communication device. The software used includes the social media API and location information acquisition API. The input data is each social media post and location information, and the output is the temporarily stored collected data.

[0610] Step 3:

[0611] The data collected by the communication terminal is encrypted using AES. An encryption library (e.g., Python's PyCrypto) is used to convert the data into a format that protects it from third parties. The input data is the temporarily stored collected data, and the output is the encrypted data.

[0612] Step 4:

[0613] Encrypted data is sent from the communication terminal to the server. HTTPS is used as the communication protocol. The input data is encrypted data, and the output is a notification to the server that data transmission has been completed.

[0614] Step 5:

[0615] The server analyzes the received data and extracts particularly important events. It uses a natural language processing library (e.g., NLTK, TextBlob) to analyze the post content and extract important keywords. The input data is the received encrypted data, and the output is a set of analyzed meaningful keywords.

[0616] Step 6:

[0617] The server performs sentiment analysis on the parsed data, using libraries such as TextBlob to determine the positive and negative sentiment of the post. The input data is a set of important keywords, and the output is the sentiment analysis results.

[0618] Step 7:

[0619] The server performs privacy filtering, applying algorithms to filter out specific NG words and personal information, eliminating information that needs to be protected. The input data is the sentiment analysis result, and the output is the filtered data.

[0620] Step 8:

[0621] The server generates diary-style text based on the filtered data. It uses a generative AI model (e.g., GPT-3) to create text in a format that is easy for humans to understand. The server generates text using prompts such as the following:

[0622] "Generate a diary-style text based on the following information:

[0623] Username: user1

[0624] Posted by: I attended a new product launch today and it was so much fun!

[0625] Location: Store 1

[0626] Activity: New product launch event

[0627] output:"

[0628] The generated sentence would be "Today's experience record: I attended the new product launch event at store 1 and had a great time."

[0629] Step 9:

[0630] The server periodically distributes the generated diary-style text or experience records to the communication device. The distribution method is to notify the user's communication device of updates using a notification API. The input data is the generated text, and the output is a notification of distribution completion to the communication device.

[0631] Step 10:

[0632] The user views the diary or experience record received on the communication device. After receiving the notification, the user launches the app and checks the content. The input data is the delivered diary or experience record, and the output is the user's browsing behavior.

[0633] Through the above process, users can effectively share everyday events and experiences with family members or customers in physical stores.

[0634] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0635] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine.

[0636] User Roles

[0637] First, users install the application on their communication device and create an account. Next, they register their family members and agree to social media integration and the collection of behavioral logs on the privacy policy and data collection consent screen. The emotion engine recognizes emotions from users' comments and posts and sends them to the server.

[0638] The role of communication terminals

[0639] The communication device periodically collects data from the user's registered social media account (posts, photos, comments, etc.), behavioral logs (location information, activity history, etc.), and emotion data from the emotion engine. The collected data is encrypted and sent to a server.

[0640] Server Roles

[0641] The server receives and analyzes the data sent from the communication device. Specifically, it extracts important events, analyzes emotions, and performs privacy filtering. The analyzed data is converted into diary-style text that records the family's daily life. The generated diary is periodically distributed to the user's communication device, where the user can view it.

[0642] The role of the emotional engine

[0643] The emotion engine analyzes emotions from users' social media posts and activity logs and sends the results to a server. The emotion engine uses natural language processing and voice recognition technologies to determine the user's emotions. This enables prioritization of events included in the diary and expressing rich emotions.

[0644] Specific examples

[0645] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[0646] The communication device collects the posts and location information, and an emotion engine analyzes the emotion of "fun."

[0647] The collected data, along with the emotion engine data, is encrypted and sent to a server.

[0648] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[0649] The server uses the extracted content and emotion data to convert the text into diary format.

[0650] The resulting diary entry becomes a sentence that reflects emotion, such as "Today's family news: Dad had a picnic in the park and had a great time," and is expressed with rich emotion using an emotion engine.

[0651] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[0652] The user can view the received diary and share the contents with the whole family to enjoy.

[0653] Privacy Protection

[0654] The server performs privacy filtering of the data to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. Sentiment analysis is also used to prioritize events that are deemed important to the user.

[0655] This system allows users to share daily events with family members who live far away, eliminating communication gaps and deepening family bonds. The introduction of an emotion engine makes diary entries more emotionally rich, further enhancing the experience of sharing with the whole family.

[0656] The processing flow will be explained below.

[0657] Step 1:

[0658] Users install the application via their communication device, create an account, register family members, and agree to the use of social networking services, behavioral log collection, and the emotion engine on the privacy policy and data collection consent screen.

[0659] Step 2:

[0660] The communication terminal receives the consent information from the user, temporarily stores it in local storage, digitally signs the consent form, and sends it to the server.

[0661] Step 3:

[0662] The server securely stores the received consent data in a database, creates a family member list, and schedules data collection tasks for each member.

[0663] Step 4:

[0664] The communication device periodically collects data such as new posts, photos, and comments from the user's social media account based on a schedule. It also uses a GPS module to collect location information and record activity history.

[0665] Step 5:

[0666] The communication device temporarily stores the collected SNS data, location information, and emotion data generated by the emotion engine in local storage. The data is then encrypted and sent to the server using a secure communication protocol (HTTPS).

[0667] Step 6:

[0668] The server deserializes the received data and stores it in a database. It then activates the AI ​​model and begins analyzing the collected data, specifically extracting important events, analyzing sentiment, and filtering privacy information.

[0669] Step 7:

[0670] The emotion engine analyzes emotions from social media posts and behavioral logs. For example, it analyzes the emotion "fun" from a post such as "I had a fun picnic in the park today." It then sends the emotional information contained in the event to the server.

[0671] Step 8:

[0672] The server then summarizes the highlights and important events of the day based on the analysis results, converts the data into diary-style text using natural language generation technology, and adds emotional expressions to the text using emotion data provided by the emotion engine.

[0673] Step 9:

[0674] The server filters out unwanted words and checks each entry to ensure privacy. It then outputs the completed diary entry in JSON or another appropriate format and prepares the diary entry data for transmission to the device.

[0675] Step 10:

[0676] The communication device receives diary-style reports periodically (e.g., weekly or monthly). The received data is stored in local storage, and the notification function notifies the user that the diary has been updated.

[0677] Step 11:

[0678] Users open the app, view their new diary entry, and use the comments feature to share their thoughts and additional memories with the whole family. Analysis by the emotion engine helps make the diary entry more moving and relatable.

[0679] Example 2

[0680] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0681] In modern society, when family members live far apart, there is a lack of daily communication, which can weaken family ties. Conventional social media and messaging apps focus on one-way information sharing, making it difficult for all family members to share daily events and experiences in an emotionally rich way.

[0682] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0683] In this invention, the server includes: a means for a user to register family members via a communication terminal and agree to SNS integration and collection of behavior logs; a means for the communication terminal to collect posts and location information from the user's SNS account, encrypt them, and transmit them to the server; a means for the server to analyze the received data, extract important events using natural language processing technology, and convert them into diary-style text; a means for using a generative AI model to generate emotional text that reflects emotional data; and a means for periodically delivering the generated diary to the communication terminal and allowing the user to view the diary. This enables emotionally rich daily events to be shared among family members who are far apart, deepening family ties.

[0684] A "user" refers to an individual who uses this system and is registered in the system as a family member via a communication terminal.

[0685] A "communication terminal" is a device used by a user, such as a smartphone or tablet, that collects posts and location information from SNS accounts and provides a means to send data to a server.

[0686] "SNS integration" is a mechanism that connects users' SNS accounts to the system to collect and share data such as posts, comments, and location information.

[0687] An "action log" records behavioral data such as a user's location information and activity history.

[0688] The "server" is a central system device that analyzes data received from communication devices, extracts important events, generates emotive diary-style text using a generative AI model, and periodically distributes it to communication devices.

[0689] "Natural language processing technology" refers to technology used by the server to extract important events and emotions from the data received, and includes NLP libraries, etc.

[0690] A "generative AI model" is an artificial intelligence model used to generate emotive sentences that reflect emotional data, such as GPT-3.

[0691] "Privacy filtering" is a method of properly protecting personal information by filtering out personal information and specific prohibited words from the data received by the server.

[0692] "Sentiment analysis" is a technology in which a server or emotion engine analyzes emotions from user posts and behavioral logs, and reflects the results in data selection and diary generation.

[0693] "Diary-style writing" is writing that uses a server-generated AI model to express the user's daily life events in an emotional way, and is shared among family members.

[0694] "Periodic delivery" means that the server transmits the diary-style texts it has created to the communication terminal according to a specific schedule.

[0695] The present invention relates to a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine.

[0696] User Roles

[0697] First, users install the application on their communication device and create an account. Next, they register their family members and agree to the privacy policy and data collection. After that, they start using the system by agreeing to social media integration and the collection of behavioral logs.

[0698] The role of communication terminals

[0699] The communication device periodically collects data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.) from the user's registered social media account. The collected data is encrypted using AES encryption technology within the device and sent to the server via the HTTPS protocol.

[0700] Server Roles

[0701] The server receives and analyzes the data sent from the communication device. This analysis process uses natural language processing technology (e.g., NLTK or SpaCy) and sentiment analysis algorithms. The server extracts important events and converts them into diary-style text. For example, if one day a user posts, "I had a fun picnic in the park today," the server analyzes this post and location information, extracts the keywords "picnic" and "fun," and uses a generative AI model (e.g., GPT-3) to generate an emotionally rich text such as, "Today's family news: Dad had a picnic in the park and had a great time."

[0702] The role of the emotional engine

[0703] The emotion engine analyzes emotions from users' social media posts and activity logs. It uses natural language processing and speech recognition technologies to determine the user's emotions. This allows it to prioritize events included in the diary and express them in a rich, emotional way.

[0704] Privacy Protection

[0705] The server performs privacy filtering to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. In addition, sentiment analysis is used to prioritize events that are deemed important to the user.

[0706] Specific examples

[0707] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[0708] The communication device collects the posts and location information, and an emotion engine analyzes the emotion of "fun."

[0709] The collected data is encrypted and sent to a server.

[0710] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[0711] The server uses the extracted content and emotion data to convert the text into diary format.

[0712] The resulting diary entry contains sentences that reflect emotions, such as "Today's family news: Dad had a picnic in the park and had a great time."

[0713] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[0714] The user can view the received diary and share the contents with the whole family to enjoy.

[0715] Prompt Sentence Examples

[0716] Here are some example prompts to input to a generative AI model:

[0717] "We have a system that allows far-flung family members to share daily events and deepen their bonds. This system includes a user, a communication device, a server, and an emotion engine. The user installs the app on their communication device and agrees to social media integration and the collection of their behavioral logs. The communication device collects data, encrypts it, and sends it to the server. The server analyzes the data and generates diary-style text. The emotion engine analyzes emotions and reflects them in the diary. Finally, the generated diary is shared among the family."

[0718] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0719] Step 1:

[0720] A user installs the application on a communication device, creates an account, and registers family members. The information entered here includes the user's personal information, information about family members, and information about SNS account connections. This creates a user database.

[0721] Step 2:

[0722] The user confirms their consent to the privacy policy and data collection, and agrees to social media integration and the collection of behavioral logs. This officially begins use of the service. The information entered is the user's consent information.

[0723] Step 3:

[0724] The communication device periodically collects posted data, photos, comments, location information, and activity history from the user's SNS account. This data becomes input data, and the data is protected using encryption technology (e.g., AES encryption), which generates encrypted data.

[0725] Specifically, the communication device calls SNS APIs (e.g., Facebook API, Twitter API) to obtain the user's latest posts and location information. The obtained data is first encrypted; it is not used as is.

[0726] Step 4:

[0727] The communication terminal periodically transmits the encrypted data to the server. Specifically, the communication terminal transmits encrypted data packets using the HTTPS protocol.

[0728] Step 5:

[0729] The server decrypts the encrypted data received from the communication terminal and analyzes it. The main part of the analysis is performed using natural language processing (NLP) technology to extract new events and their emotions.

[0730] Specifically, the server uses Python NLP libraries (e.g., NLTK or SpaCy) to extract keywords and sentiment from posts. The input data for this analysis process is the decoded post data, and the analysis results are key events and sentiment data.

[0731] Step 6:

[0732] The server uses a generative AI model (e.g., GPT-3) to generate diary-style sentences based on the extracted data. A prompt sentence is input into the generative AI model, causing it to output emotive sentences.

[0733] Specifically, the generative AI model is fed the prompt "Today's family news: Dad had a picnic in the park and had a great time" along with the analyzed emotion data. The output is an emotive diary-style text.

[0734] Step 7:

[0735] The server sets up a scheduling task (e.g., a CRON job) to periodically distribute the created diary to the communication device. Based on the set schedule, the diary is pushed to the communication device.

[0736] Step 8:

[0737] The communication terminal notifies the user of the received diary entry and provides an interface for the user to view the diary entry. The input data is the diary entry data received from the server, and the output is the diary entry displayed on the user's terminal.

[0738] Specifically, the device receives a push notification using a notification service such as Firebase Cloud Messaging (FCM) to notify the user that a new diary entry has been delivered. When the user taps the notification, the app opens and the diary entry is displayed.

[0739] Step 9:

[0740] The user can view the diary delivered to the communication device and share it with the whole family. The input of this step is the diary data delivered to the device, and the output is the user's viewing and sharing.

[0741] (Application example 2)

[0742] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0743] In modern society, it is difficult for family members who live far away to share daily events and deepen emotional connections. In particular, there is a need to centralize individual posts and data from social networking sites and photo sharing services and provide them in diary format, so that all family members can have common topics and enjoy emotionally rich interactions. Furthermore, there is a need to perform emotion analysis and generate diaries that reflect users' emotions richly while protecting their privacy.

[0744] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: a means for a user to register family members via a communication terminal and agree to data linking and activity log collection; a means for the communication terminal to collect posts and location information from the user's data account, encrypt the collected information, and transmit it to the server; a means for the server to analyze the received data, extract important events, and convert them into diary-style text; a means for periodically distributing the generated diary to the communication terminal and allowing the user to view the diary; a means for generating diary-style text using a natural language generation model; a means for the communication terminal to analyze emotions and transmit the emotion to the server; a means for the server to generate a diary containing emotional expressions based on the emotion analysis data; and a means for notifying the user of the generated diary using a notification function. This allows distant family members to share emotionally charged daily events, alleviating communication gaps and deepening family ties. Furthermore, user privacy is protected, and important events are expressed emotionally, allowing all family members to share common topics and interact with each other.

[0745] "User" refers to an individual who uses this system to share information among family members.

[0746] A "communication terminal" is a device used by a user, such as a smartphone or tablet, that has data collection and notification functions.

[0747] "Family members" refers to people with whom information is shared, such as relatives or close friends, who are registered by the user.

[0748] "Data integration" refers to obtaining information from social media and related accounts and handling it centrally.

[0749] "Behavior log" refers to data such as a user's movement history and activity history.

[0750] "Encryption" is a method of ensuring security by converting data to be transmitted into a format that cannot be understood by third parties.

[0751] A "server" is a central system that analyzes and processes received data and delivers necessary information to users.

[0752] A "natural language generation model" refers to AI technology for generating natural-sounding sentences based on given data.

[0753] "Sentiment analysis" is a technology that extracts and analyzes emotions from user posts and behavioral data.

[0754] "Emotionally rich expression" is a text generation technology that reflects the results of emotion analysis and produces more human-like expressions.

[0755] The "notification function" is a function that notifies the user whenever new information or diary entries are created.

[0756] "Privacy filtering" is a technology that automatically detects and removes personal information and inappropriate content.

[0757] "Significant events" refer to notable events or events that have a strong emotional impact on a user's daily life.

[0758] This invention is a system for sharing daily events among family members who are far apart and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine. Specific embodiments are described below.

[0759] User Roles

[0760] Users first install the application on their communication device and create an account. Then, they register family members and agree to the privacy policy and data collection. By agreeing to SNS integration, the device will be able to collect SNS account data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.).

[0761] The role of communication terminals

[0762] The communication device periodically collects data from the user's registered social media accounts, behavioral logs, and emotional data from the emotion engine. This data is encrypted and sent to a server. For example, a typical smartphone such as an Android device or iPhone can be used as the communication device.

[0763] Server Roles

[0764] The server receives and analyzes data sent from the communication device. Specifically, it extracts important events, analyzes sentiment, and filters personal information. The analyzed data is converted into diary-style text using a natural language generation model. This text is periodically distributed to the user's communication device, and updates are notified to the user via a notification function.

[0765] The role of the emotional engine

[0766] The emotion engine analyzes emotions from users' social media posts and behavioral logs and sends the results to a server. This engine uses natural language processing and speech recognition technology to determine the user's emotions. For example, it can use the Hugging Face Transformers library.

[0767] Hardware and software used

[0768] Hardware: Smartphones, tablets, smart glasses

[0769] Software: Android SDK, iOS SDK, Twitter API, Facebook Graph API, Python, requests, nltk, pandas, Transformers by Hugging Face, GPT-3 / GPT-4, Firebase Cloud Messaging

[0770] Specific examples

[0771] For example, suppose a family member posts, "Today we had a fun picnic in the park." In this case, the emotion engine analyzes the post as "fun," and the data is encrypted and sent to the server. Based on the post and the analysis results, the server extracts keywords such as "park," "picnic," and "fun," and uses these to generate emotionally rich diary-style text. This generation utilizes natural language generation models such as GPT-3 and GPT-4.

[0772] Prompt Sentence Examples

[0773] "Important events: park, picnic.\nEmotions: fun time\nGenerate sentences in diary format."

[0774] This system allows users to share their family's daily happenings and enjoy emotional communication even when they are far apart. Furthermore, privacy is protected, so users can use it with peace of mind.

[0775] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0776] Step 1:

[0777] The user installs the application using a communication device and creates an account. They also register family members and agree to the privacy policy and data collection. This enables data integration, and SNS integration and activity log collection begin. The input is family member information and consent details, and the output is the family member's registration data and consent information.

[0778] Step 2:

[0779] The communication device periodically collects posts from users' social media accounts, location information, and activity logs. Specifically, it acquires data using the Twitter API and Facebook Graph API. The input is post data and location information from the social media accounts, and the output is the collected data. The collected data is encrypted and sent to a server for further processing.

[0780] Step 3:

[0781] The communication device uses an emotion engine to analyze emotions from collected SNS posts and behavioral logs. For example, emotion analysis is performed using the Hugging Face Transformers library. The input is the data collected in step 2, and the output is the analyzed emotion data. The emotion data is also encrypted and sent to the server.

[0782] Step 4:

[0783] The server receives the data sent from the communication terminal. Specifically, it receives the data and performs the process of decompressing and decrypting it. The input is the encrypted collected data and emotion data, and the output is the decompressed data. This prepares the data for analysis.

[0784] Step 5:

[0785] The server analyzes the received data, extracts important events, and generates diary-style sentences using a natural language generation model based on the emotion data. Specifically, it uses pandas to analyze the data, and then uses GPT-3 or GPT-4 to generate sentences using the extracted results and emotion data. The input is the various received data, and the output is diary-style sentences.

[0786] Step 6:

[0787] The server periodically distributes the created diary entries to the communication device and notifies the user. For example, notifications are sent using Firebase Cloud Messaging. The input is the created diary-style text, and the output is a notification sent to the user's communication device. This allows the user to immediately check new diary entries.

[0788] Step 7:

[0789] The user can view the created diary using a communication terminal. This allows family members to share daily events and enjoy emotional communication. The input is diary-style text sent from the server, and the output is the user's viewing behavior.

[0790] Through the above processing steps, the present invention provides a specific system for emotionally sharing everyday events among family members living far apart and deepening ties.

[0791] 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.

[0792] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0793] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0794] [Third embodiment]

[0795] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0796] 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.

[0797] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0798] 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.

[0799] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0800] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0801] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0802] 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.

[0803] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0804] 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.

[0805] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0806] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0807] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, and a server.

[0808] User Roles

[0809] The user first registers family members using a communication device and agrees to the collection of social media links and activity logs, allowing the system to collect posts, location information, and other information from the user's social media account.

[0810] The role of communication terminals

[0811] The communication device periodically collects data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.) from the user's registered SNS account. The collected data is encrypted and sent to the server.

[0812] Server Roles

[0813] The server receives and analyzes the data sent from the communication device. Specifically, it extracts important events, analyzes emotions, and performs privacy filtering. The analyzed data is converted into diary-style text that records the family's daily life. The generated diary is periodically distributed to the user's communication device, where the user can view it.

[0814] Specific examples

[0815] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[0816] The communication device collects the post and location information, encrypts it, and sends it to the server.

[0817] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[0818] The server uses the extracted content and converts it into diary-style text.

[0819] The resulting diary entry would be "Today's family news: Dad had a picnic in the park and had a great time."

[0820] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[0821] The user can view the received diary and share the contents with the whole family to enjoy.

[0822] Privacy Protection

[0823] The server performs privacy filtering of the data to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. In addition, sentiment analysis is used to prioritize events that are deemed important to the user.

[0824] This system allows users to share daily happenings with family members who live far away, eliminating communication gaps and deepening family ties.

[0825] The processing flow will be explained below.

[0826] Step 1:

[0827] Users install the application via their communication device, create an account, register family members, and agree to social media integration and behavioral log collection on the privacy policy and data collection consent screen.

[0828] Step 2:

[0829] The communication terminal receives the consent information from the user, temporarily stores it in local storage, digitally signs the consent form, and sends it to the server.

[0830] Step 3:

[0831] The server securely stores the received consent data in a database, creates a family member list, and schedules data collection tasks for each member.

[0832] Step 4:

[0833] The communication device periodically collects data such as new posts, photos, and comments from the user's social media account based on a schedule. It also uses a GPS module to collect location information and record activity history.

[0834] Step 5:

[0835] The communication device temporarily stores the collected SNS data and location information in local storage, encrypts the data, and sends it to the server using a secure communication protocol (HTTPS).

[0836] Step 6:

[0837] The server deserializes the received data and stores it in a database. It then activates the AI ​​model and begins analyzing the collected data, specifically extracting important events, analyzing sentiment, and filtering privacy information.

[0838] Step 7:

[0839] The server then uses the analysis results to summarize the highlights and important events of the day, and uses natural language generation technology to convert the data into diary-style text.

[0840] Step 8:

[0841] The server filters out unwanted words and checks each entry to ensure privacy. It then outputs the completed diary entry in JSON or another appropriate format and prepares the diary entry data for transmission to the device.

[0842] Step 9:

[0843] The communication device periodically (e.g., weekly or monthly) receives diary-style reports. The received data is stored in local storage, and a notification function is used to notify the user that the diary has been updated.

[0844] Step 10:

[0845] Users open the app, view their new diary entry, and use the comments feature to share thoughts and additional memories with the whole family.

[0846] Example 1

[0847] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0848] With conventional systems, it is difficult for family members living far away from each other to smoothly share daily events, resulting in a lack of communication. In addition, handling data from the perspective of privacy protection is also an issue. Furthermore, since manually creating a diary takes time and effort, automation was required.

[0849] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0850] In this invention, the server includes means for extracting important events using natural language processing technology, performing sentiment analysis, and converting the events into diary-style text, means for removing personal information and specific keywords through privacy filtering, and means for generating text based on specified prompts using a generative AI model. This allows users to easily share daily events with family members who are far away, facilitating communication and deepening family ties.

[0851] A "communication terminal" is a device used by a user that has the function of collecting data from social networking services and transmitting encrypted data to a server.

[0852] A "social networking service" is an online platform where users post about their daily activities, and examples include social networking sites and applications.

[0853] An "action log" is data that records a user's location information and activity history.

[0854] A "server" is a computer system that receives data sent from a communication terminal and analyzes and processes it.

[0855] "Natural language processing technology" is a technology that enables computers to understand, analyze, and generate human language, and is used to analyze text data and perform sentiment analysis.

[0856] "Sentiment analysis" is a technology that extracts emotional elements (positive, negative, etc.) from posted text data.

[0857] "Privacy filtering" is a technology that removes personal information and specific keywords during data analysis.

[0858] A "generative AI model" is an artificial intelligence model that automatically generates sentences based on prompts, etc.

[0859] A "prompt" is an instruction or question entered into an AI model, and is the text that serves as the basis for the AI's response.

[0860] MODE FOR CARRYING OUT THE INVENTION

[0861] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, and a server.

[0862] User Roles

[0863] Users install a dedicated application on a communication device such as a smartphone or tablet and register family members. When registering, users agree to link with social networking services (SNS) and to the collection of activity logs. For example, users can enter their SNS account details within the app and authorize linking.

[0864] The role of communication terminals

[0865] The communication device periodically collects data from the social networking account registered by the user. This data is retrieved using the social networking application programming interface (API) to retrieve data such as posts, photos, comments, location information, and activity history. The collected data is then sent to a server in a secure state using encryption algorithms such as AES (Advanced Encryption Standard).

[0866] Server Roles

[0867] The server receives the data sent from the communication device, first decrypts it, and then analyzes it using Python scripts and the natural language processing (NLP) libraries "spaCy" or "NLTK." Specifically, it performs the following processes:

[0868] 1. Extraction of important events

[0869] 2. Sentiment analysis

[0870] 3. Privacy Filtering

[0871] For example, if a father posts, "Today I had a fun picnic at the park," the server extracts keywords such as "picnic" and "fun time" from the post. Sentiment analysis then classifies the post as a positive event. Privacy filtering removes personal information and certain prohibited words.

[0872] Diary-style text generation

[0873] The server uses the analyzed and filtered data to input prompts into a generative AI model (e.g., GPT-3) to generate diary-style text. Examples of prompts include:

[0874] Use the posts below to create a diary-style piece of writing that will help strengthen family bonds.

[0875] Post: I had a fun picnic in the park today

[0876] Location: [latitude, longitude]

[0877] The generated sentence would be "Today's family news: Dad had a picnic in the park and had a great time."

[0878] Diary distribution and viewing

[0879] The communication device periodically receives diary-style text sent from the server and notifies the user of updates via push notifications. Users tap the notification to open the application, view the created diary, and share the contents with the whole family. Users can also share their thoughts using the app's comment function, further promoting communication.

[0880] This system allows users to easily share daily happenings with far-away family members, eliminating communication gaps and deepening family ties.

[0881] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0882] Processing Step Description

[0883] Step 1:

[0884] The user installs a dedicated application using a communication terminal and registers family members.

[0885] Input: Family member information, SNS account information

[0886] How it works: The application displays a user input form, and the user enters the names of family members and social media account information.

[0887] Output: Registered family member information, SNS account link permission

[0888] Step 2:

[0889] The communication terminal periodically collects data from registered SNS accounts.

[0890] Input: Registered SNS account information

[0891] How it works: It uses social networking site APIs to collect data such as posts, photos, comments, and location information. The collected data is encrypted using the AES encryption algorithm.

[0892] Output: Encrypted social media data

[0893] Step 3:

[0894] The communication terminal transmits the encrypted data to the server.

[0895] Input: Encrypted social media data

[0896] How it works: The communication device sends encrypted data to the server using the HTTPS protocol.

[0897] Output: Encrypted data sent to the server

[0898] Step 4:

[0899] The server decrypts the received data and stores it in a database.

[0900] Input: Encrypted social media data

[0901] How it works: The server decrypts the data using the AES decryption algorithm and stores it in the database.

[0902] Output: Decrypted social media data

[0903] Step 5:

[0904] The server analyzes the received data and extracts important events.

[0905] Input: Social media data stored in the database

[0906] How it works: It uses a Python script to extract important keywords and events using natural language processing libraries (spaCy and NLTK).

[0907] Output: Extracted significant events

[0908] Step 6:

[0909] The server performs the sentiment analysis.

[0910] Input: Extracted significant events

[0911] How it works: Using natural language processing technology (such as VADER), it analyzes sentiment from the content of posts.

[0912] Output: Sentiment label (positive, negative, etc.)

[0913] Step 7:

[0914] The server performs privacy filtering.

[0915] Input: Extracted important events, emotion labels

[0916] What it does: Uses a privacy filtering script to remove personal information and specific blacklist words from your data.

[0917] Output: Filtered data

[0918] Step 8:

[0919] The server generates diary-style text using a generative AI model.

[0920] Input: filtered data, prompt statement

[0921] How it works: A prompt sentence is fed into a generative AI model (e.g., GPT-3), which generates an appropriate diary-style sentence.

[0922] Output: Generated diary-style text

[0923] Step 9:

[0924] The communication terminal receives the created diary from the server and distributes it to the user.

[0925] Input: Generated diary-style text

[0926] Behavior: Diary entries received from the server are sent to the user as push notifications.

[0927] Output: Diary delivered to the user

[0928] Step 10:

[0929] The user can view the delivered diary and share it with family members.

[0930] Input: Published diary

[0931] How it works: Users tap the notification to open the application, view the diary entry, and share their thoughts using the in-app comment feature.

[0932] Output: Viewed and shared diary entries

[0933] Through these steps, users can easily share daily happenings with far-away family members, resolving communication gaps and deepening family ties.

[0934] (Application example 1)

[0935] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0936] In modern society, a lack of communication and a loss of connection between family members and customers is a problem. There is also a lack of ways for customers to effectively share their experiences in physical stores and deepen their bonds with each other and with store staff. This has led to issues such as a decline in customer satisfaction and repeat visits.

[0937] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0938] In this invention, the server includes: a means for a user to register family members or customers of a physical store via a communication terminal and agree to SNS integration and the collection of behavioral logs; a means for the communication terminal to collect posts and location information from the user's SNS account, encrypt the collected information, and transmit it to the server; a means for the server to analyze the received data, extract important events, and convert them into diary-style text or in-store experience records; and a means for periodically distributing the generated diary or experience records to the communication terminal and allowing the user to view the diary or experience records. This allows for deeper ties between family members who are far apart, effectively sharing customer experiences at physical stores, and strengthening relationships between customers and store staff.

[0939] 1. "User" refers to an individual or brick-and-mortar customer who uses the System.

[0940] 2. "Communication terminal" refers to a device used by a user, such as a smartphone, tablet, or computer, for connecting to SNS, collecting behavioral logs, and communicating data with the server.

[0941] 3. "SNS integration" refers to the process of linking a user's social networking service (SNS) account with the system and collecting data such as SNS posts, comments, and photos.

[0942] 4. "Behavior log" refers to data that records a user's daily behavior, including location information and activity history.

[0943] 5. "Encryption" refers to the technology of converting collected data into a format that cannot be easily deciphered by third parties in order to protect the data.

[0944] 6. "Server" refers to a computer system that receives, analyzes, and stores data sent from a communication terminal.

[0945] 7. "Important Event" means an event that is of particular interest or significance to users or store customers.

[0946] 8. "Diary-style writing" refers to opening sentences generated to record daily events based on data collected and analyzed by the server.

[0947] 9. "In-store experience record" refers to a document used to record and share the events and impressions experienced by customers in a physical store.

[0948] 10. "Periodic distribution" refers to sending the diary or experience records created at regular intervals to the communication device.

[0949] 11. "Privacy filtering" refers to the process of properly protecting personal and sensitive information and ensuring that unnecessary information is not included in diaries and experience records.

[0950] 12. "Sentiment analysis" refers to the technology of analyzing the emotional state of users or customers from collected data and extracting important events.

[0951] 13. "Natural language generation model" refers to an artificial intelligence technology that automatically generates sentences in a format that is easy for humans to understand, based on collected and analyzed data.

[0952] 14. "Notification function" refers to the function that notifies the user's communication device of the created diary or experience record.

[0953] This invention begins when a user registers family members or customers of a physical store via a communication device and agrees to social media integration and the collection of activity logs. The user then uses the device to collect posts and location information from their social media accounts. The collected data is encrypted on the device and sent to a server.

[0954] User Roles

[0955] First, the user sets up the following on the communication device:

[0956] 1. Registering family members or brick-and-mortar customers.

[0957] 2. Set up linking with your SNS account.

[0958] 3. I agree to the collection of behavioral logs.

[0959] This allows the system to collect posts, location information, activity history, and more from users' social media accounts.

[0960] The role of communication terminals

[0961] The communication terminal has the following responsibilities:

[0962] 1. Regular collection of SNS account data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.).

[0963] 2. Encryption of collected data (for example, using AES encryption).

[0964] 3. Sending the encrypted data to the server.

[0965] Server Roles

[0966] The server does the following:

[0967] 1. Receive and analyze data sent from the communication terminal.

[0968] 2. Extract key events, perform sentiment analysis, and privacy filtering (Software used: Natural Language Processing libraries (e.g., NLTK, TextBlob), generative AI models (e.g., GPT-3)).

[0969] 3. Based on the extracted content, it is converted into diary-style writing or a record of the in-store experience.

[0970] 4. The generated diary or experience record is periodically distributed to the user's communication device.

[0971] The following are examples of specific prompts that the server uses to analyze data and generate a diary:

[0972] "Generate a diary-style text based on the following information:

[0973] Username: user1

[0974] Posted by: I attended a new product launch today and it was so much fun!

[0975] Location: Store 1

[0976] Activity: New product launch event

[0977] output:"

[0978] Privacy Protection

[0979] The server performs privacy filtering of the data. To protect privacy, certain prohibited words and personal information are filtered out so that they are not included in the diary or experience log. Sentiment analysis is also used to prioritize events that are important to the user.

[0980] Specific examples

[0981] For example, if a user attends a product launch event at a brick-and-mortar store and posts about their experience on social media:

[0982] 1. The communication device collects the post and location information, encrypts it, and sends it to the server.

[0983] 2. The server analyzes the received data and extracts keywords such as "new product launch" and "fun."

[0984] 3. The server converts the extracted content into diary-style text.

[0985] 4. The generated diary entry will be "Today's experience record: I attended the new product launch event at store 1 and had a great time."

[0986] 5. The communication terminal periodically distributes the created diary and notifies the user of updates using the notification function.

[0987] This system allows users to effectively share daily happenings and experiences with family members or customers of physical stores, deepening communication and communicating the appeal of physical stores to more customers.

[0988] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0989] Step 1:

[0990] The user registers family members or customers of a physical store using a communication device and agrees to SNS integration and the collection of behavioral logs. This completes the initial setup for the user. Specifically, the user launches the dedicated app on the communication device, enters the required information on the registration screen, and agrees to SNS account integration. Input data includes user information and SNS authentication information, and the output is the account's initial setup completed state.

[0991] Step 2:

[0992] The communication device periodically collects posts, photos, comments, and location information from the user's social media account. The collected data is first temporarily stored within the communication device. The software used includes the social media API and location information acquisition API. The input data is each social media post and location information, and the output is the temporarily stored collected data.

[0993] Step 3:

[0994] The data collected by the communication terminal is encrypted using AES. An encryption library (e.g., Python's PyCrypto) is used to convert the data into a format that protects it from third parties. The input data is the temporarily stored collected data, and the output is the encrypted data.

[0995] Step 4:

[0996] Encrypted data is sent from the communication terminal to the server. HTTPS is used as the communication protocol. The input data is encrypted data, and the output is a notification to the server that data transmission has been completed.

[0997] Step 5:

[0998] The server analyzes the received data and extracts particularly important events. It uses a natural language processing library (e.g., NLTK, TextBlob) to analyze the post content and extract important keywords. The input data is the received encrypted data, and the output is a set of analyzed meaningful keywords.

[0999] Step 6:

[1000] The server performs sentiment analysis on the parsed data, using libraries such as TextBlob to determine the positive and negative sentiment of the post. The input data is a set of important keywords, and the output is the sentiment analysis results.

[1001] Step 7:

[1002] The server performs privacy filtering, applying algorithms to filter out specific NG words and personal information, eliminating information that needs to be protected. The input data is the sentiment analysis result, and the output is the filtered data.

[1003] Step 8:

[1004] The server generates diary-style text based on the filtered data. It uses a generative AI model (e.g., GPT-3) to create text in a format that is easy for humans to understand. The server generates text using prompts such as the following:

[1005] "Generate a diary-style text based on the following information:

[1006] Username: user1

[1007] Posted by: I attended a new product launch today and it was so much fun!

[1008] Location: Store 1

[1009] Activity: New product launch event

[1010] output:"

[1011] The generated sentence would be "Today's experience record: I attended the new product launch event at store 1 and had a great time."

[1012] Step 9:

[1013] The server periodically distributes the generated diary-style text or experience records to the communication device. The distribution method is to notify the user's communication device of updates using a notification API. The input data is the generated text, and the output is a notification of distribution completion to the communication device.

[1014] Step 10:

[1015] The user views the diary or experience record received on the communication device. After receiving the notification, the user launches the app and checks the content. The input data is the delivered diary or experience record, and the output is the user's browsing behavior.

[1016] Through the above process, users can effectively share everyday events and experiences with family members or customers in physical stores.

[1017] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1018] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine.

[1019] User Roles

[1020] First, users install the application on their communication device and create an account. Next, they register their family members and agree to social media integration and the collection of behavioral logs on the privacy policy and data collection consent screen. The emotion engine recognizes emotions from users' comments and posts and sends them to the server.

[1021] The role of communication terminals

[1022] The communication device periodically collects data from the user's registered social media account (posts, photos, comments, etc.), behavioral logs (location information, activity history, etc.), and emotion data from the emotion engine. The collected data is encrypted and sent to a server.

[1023] Server Roles

[1024] The server receives and analyzes the data sent from the communication device. Specifically, it extracts important events, analyzes emotions, and performs privacy filtering. The analyzed data is converted into diary-style text that records the family's daily life. The generated diary is periodically distributed to the user's communication device, where the user can view it.

[1025] The role of the emotional engine

[1026] The emotion engine analyzes emotions from users' social media posts and activity logs and sends the results to a server. The emotion engine uses natural language processing and voice recognition technologies to determine the user's emotions. This enables prioritization of events included in the diary and expressing rich emotions.

[1027] Specific examples

[1028] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[1029] The communication device collects the posts and location information, and an emotion engine analyzes the emotion of "fun."

[1030] The collected data, along with the emotion engine data, is encrypted and sent to a server.

[1031] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[1032] The server uses the extracted content and emotion data to convert the text into diary format.

[1033] The resulting diary entry becomes a sentence that reflects emotion, such as "Today's family news: Dad had a picnic in the park and had a great time," and is expressed with rich emotion using an emotion engine.

[1034] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[1035] The user can view the received diary and share the contents with the whole family to enjoy.

[1036] Privacy Protection

[1037] The server performs privacy filtering of the data to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. Sentiment analysis is also used to prioritize events that are deemed important to the user.

[1038] This system allows users to share daily events with family members who live far away, eliminating communication gaps and deepening family bonds. The introduction of an emotion engine makes diary entries more emotionally rich, further enhancing the experience of sharing with the whole family.

[1039] The processing flow will be explained below.

[1040] Step 1:

[1041] Users install the application via their communication device, create an account, register family members, and agree to the use of social networking services, behavioral log collection, and the emotion engine on the privacy policy and data collection consent screen.

[1042] Step 2:

[1043] The communication terminal receives the consent information from the user, temporarily stores it in local storage, digitally signs the consent form, and sends it to the server.

[1044] Step 3:

[1045] The server securely stores the received consent data in a database, creates a family member list, and schedules data collection tasks for each member.

[1046] Step 4:

[1047] The communication device periodically collects data such as new posts, photos, and comments from the user's social media account based on a schedule. It also uses a GPS module to collect location information and record activity history.

[1048] Step 5:

[1049] The communication device temporarily stores the collected SNS data, location information, and emotion data generated by the emotion engine in local storage. The data is then encrypted and sent to the server using a secure communication protocol (HTTPS).

[1050] Step 6:

[1051] The server deserializes the received data and stores it in a database. It then activates the AI ​​model and begins analyzing the collected data, specifically extracting important events, analyzing sentiment, and filtering privacy information.

[1052] Step 7:

[1053] The emotion engine analyzes emotions from social media posts and behavioral logs. For example, it analyzes the emotion "fun" from a post such as "I had a fun picnic in the park today." It then sends the emotional information contained in the event to the server.

[1054] Step 8:

[1055] The server then summarizes the highlights and important events of the day based on the analysis results, converts the data into diary-style text using natural language generation technology, and adds emotional expressions to the text using emotion data provided by the emotion engine.

[1056] Step 9:

[1057] The server filters out unwanted words and checks each entry to ensure privacy. It then outputs the completed diary entry in JSON or another appropriate format and prepares the diary entry data for transmission to the device.

[1058] Step 10:

[1059] The communication device receives diary-style reports periodically (e.g., weekly or monthly). The received data is stored in local storage, and the notification function notifies the user that the diary has been updated.

[1060] Step 11:

[1061] Users open the app, view their new diary entry, and use the comments feature to share their thoughts and additional memories with the whole family. Analysis by the emotion engine helps make the diary entry more moving and relatable.

[1062] Example 2

[1063] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1064] In modern society, when family members live far apart, there is a lack of daily communication, which can weaken family ties. Conventional social media and messaging apps focus on one-way information sharing, making it difficult for all family members to share daily events and experiences in an emotionally rich way.

[1065] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1066] In this invention, the server includes: a means for a user to register family members via a communication terminal and agree to SNS integration and collection of behavior logs; a means for the communication terminal to collect posts and location information from the user's SNS account, encrypt them, and transmit them to the server; a means for the server to analyze the received data, extract important events using natural language processing technology, and convert them into diary-style text; a means for using a generative AI model to generate emotional text that reflects emotional data; and a means for periodically delivering the generated diary to the communication terminal and allowing the user to view the diary. This enables emotionally rich daily events to be shared among family members who are far apart, deepening family ties.

[1067] A "user" refers to an individual who uses this system and is registered in the system as a family member via a communication terminal.

[1068] A "communication terminal" is a device used by a user, such as a smartphone or tablet, that collects posts and location information from SNS accounts and provides a means to send data to a server.

[1069] "SNS integration" is a mechanism that connects users' SNS accounts to the system to collect and share data such as posts, comments, and location information.

[1070] An "action log" records behavioral data such as a user's location information and activity history.

[1071] The "server" is a central system device that analyzes data received from communication devices, extracts important events, generates emotive diary-style text using a generative AI model, and periodically distributes it to communication devices.

[1072] "Natural language processing technology" refers to technology used by the server to extract important events and emotions from the data received, and includes NLP libraries, etc.

[1073] A "generative AI model" is an artificial intelligence model used to generate emotive sentences that reflect emotional data, such as GPT-3.

[1074] "Privacy filtering" is a method of properly protecting personal information by filtering out personal information and specific prohibited words from the data received by the server.

[1075] "Sentiment analysis" is a technology in which a server or emotion engine analyzes emotions from user posts and behavioral logs, and reflects the results in data selection and diary generation.

[1076] "Diary-style writing" is writing that uses a server-generated AI model to express the user's daily life events in an emotional way, and is shared among family members.

[1077] "Periodic delivery" means that the server transmits the diary-style texts it has created to the communication terminal according to a specific schedule.

[1078] The present invention relates to a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine.

[1079] User Roles

[1080] First, users install the application on their communication device and create an account. Next, they register their family members and agree to the privacy policy and data collection. After that, they start using the system by agreeing to social media integration and the collection of behavioral logs.

[1081] The role of communication terminals

[1082] The communication device periodically collects data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.) from the user's registered social media account. The collected data is encrypted using AES encryption technology within the device and sent to the server via the HTTPS protocol.

[1083] Server Roles

[1084] The server receives and analyzes the data sent from the communication device. This analysis process uses natural language processing technology (e.g., NLTK or SpaCy) and sentiment analysis algorithms. The server extracts important events and converts them into diary-style text. For example, if one day a user posts, "I had a fun picnic in the park today," the server analyzes this post and location information, extracts the keywords "picnic" and "fun," and uses a generative AI model (e.g., GPT-3) to generate an emotionally rich text such as, "Today's family news: Dad had a picnic in the park and had a great time."

[1085] The role of the emotional engine

[1086] The emotion engine analyzes emotions from users' social media posts and activity logs. It uses natural language processing and speech recognition technologies to determine the user's emotions. This allows it to prioritize events included in the diary and express them in a rich, emotional way.

[1087] Privacy Protection

[1088] The server performs privacy filtering to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. In addition, sentiment analysis is used to prioritize events that are deemed important to the user.

[1089] Specific examples

[1090] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[1091] The communication device collects the posts and location information, and an emotion engine analyzes the emotion of "fun."

[1092] The collected data is encrypted and sent to a server.

[1093] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[1094] The server uses the extracted content and emotion data to convert the text into diary format.

[1095] The resulting diary entry contains sentences that reflect emotions, such as "Today's family news: Dad had a picnic in the park and had a great time."

[1096] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[1097] The user can view the received diary and share the contents with the whole family to enjoy.

[1098] Prompt Sentence Examples

[1099] Here are some example prompts to input to a generative AI model:

[1100] "We have a system that allows far-flung family members to share daily events and deepen their bonds. This system includes a user, a communication device, a server, and an emotion engine. The user installs the app on their communication device and agrees to social media integration and the collection of their behavioral logs. The communication device collects data, encrypts it, and sends it to the server. The server analyzes the data and generates diary-style text. The emotion engine analyzes emotions and reflects them in the diary. Finally, the generated diary is shared among the family."

[1101] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1102] Step 1:

[1103] A user installs the application on a communication device, creates an account, and registers family members. The information entered here includes the user's personal information, information about family members, and information about SNS account connections. This creates a user database.

[1104] Step 2:

[1105] The user confirms their consent to the privacy policy and data collection, and agrees to social media integration and the collection of behavioral logs. This officially begins use of the service. The information entered is the user's consent information.

[1106] Step 3:

[1107] The communication device periodically collects posted data, photos, comments, location information, and activity history from the user's SNS account. This data becomes input data, and the data is protected using encryption technology (e.g., AES encryption), which generates encrypted data.

[1108] Specifically, the communication device calls SNS APIs (e.g., Facebook API, Twitter API) to obtain the user's latest posts and location information. The obtained data is first encrypted; it is not used as is.

[1109] Step 4:

[1110] The communication terminal periodically transmits the encrypted data to the server. Specifically, the communication terminal transmits encrypted data packets using the HTTPS protocol.

[1111] Step 5:

[1112] The server decrypts the encrypted data received from the communication terminal and analyzes it. The main part of the analysis is performed using natural language processing (NLP) technology to extract new events and their emotions.

[1113] Specifically, the server uses Python NLP libraries (e.g., NLTK or SpaCy) to extract keywords and sentiment from posts. The input data for this analysis process is the decoded post data, and the analysis results are key events and sentiment data.

[1114] Step 6:

[1115] The server uses a generative AI model (e.g., GPT-3) to generate diary-style sentences based on the extracted data. A prompt sentence is input into the generative AI model, causing it to output emotive sentences.

[1116] Specifically, the generative AI model is fed the prompt "Today's family news: Dad had a picnic in the park and had a great time" along with the analyzed emotion data. The output is an emotive diary-style text.

[1117] Step 7:

[1118] The server sets up a scheduling task (e.g., a CRON job) to periodically distribute the created diary to the communication device. Based on the set schedule, the diary is pushed to the communication device.

[1119] Step 8:

[1120] The communication terminal notifies the user of the received diary entry and provides an interface for the user to view the diary entry. The input data is the diary entry data received from the server, and the output is the diary entry displayed on the user's terminal.

[1121] Specifically, the device receives a push notification using a notification service such as Firebase Cloud Messaging (FCM) to notify the user that a new diary entry has been delivered. When the user taps the notification, the app opens and the diary entry is displayed.

[1122] Step 9:

[1123] The user can view the diary delivered to the communication device and share it with the whole family. The input of this step is the diary data delivered to the device, and the output is the user's viewing and sharing.

[1124] (Application example 2)

[1125] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1126] In modern society, it is difficult for family members who live far away to share daily events and deepen emotional connections. In particular, there is a need to centralize individual posts and data from social networking sites and photo sharing services and provide them in diary format, so that all family members can have common topics and enjoy emotionally rich interactions. Furthermore, there is a need to perform emotion analysis and generate diaries that reflect users' emotions richly while protecting their privacy.

[1127] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: a means for a user to register family members via a communication terminal and agree to data linking and activity log collection; a means for the communication terminal to collect posts and location information from the user's data account, encrypt the collected information, and transmit it to the server; a means for the server to analyze the received data, extract important events, and convert them into diary-style text; a means for periodically distributing the generated diary to the communication terminal and allowing the user to view the diary; a means for generating diary-style text using a natural language generation model; a means for the communication terminal to analyze emotions and transmit the emotion to the server; a means for the server to generate a diary containing emotional expressions based on the emotion analysis data; and a means for notifying the user of the generated diary using a notification function. This allows distant family members to share emotionally charged daily events, alleviating communication gaps and deepening family ties. Furthermore, user privacy is protected, and important events are expressed emotionally, allowing all family members to share common topics and interact with each other.

[1128] "User" refers to an individual who uses this system to share information among family members.

[1129] A "communication terminal" is a device used by a user, such as a smartphone or tablet, that has data collection and notification functions.

[1130] "Family members" refers to people with whom information is shared, such as relatives or close friends, who are registered by the user.

[1131] "Data integration" refers to obtaining information from social media and related accounts and handling it centrally.

[1132] "Behavior log" refers to data such as a user's movement history and activity history.

[1133] "Encryption" is a method of ensuring security by converting data to be transmitted into a format that cannot be understood by third parties.

[1134] A "server" is a central system that analyzes and processes received data and delivers necessary information to users.

[1135] A "natural language generation model" refers to AI technology for generating natural-sounding sentences based on given data.

[1136] "Sentiment analysis" is a technology that extracts and analyzes emotions from user posts and behavioral data.

[1137] "Emotionally rich expression" is a text generation technology that reflects the results of emotion analysis and produces more human-like expressions.

[1138] The "notification function" is a function that notifies the user whenever new information or diary entries are created.

[1139] "Privacy filtering" is a technology that automatically detects and removes personal information and inappropriate content.

[1140] "Significant events" refer to notable events or events that have a strong emotional impact on a user's daily life.

[1141] This invention is a system for sharing daily events among family members who are far apart and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine. Specific embodiments are described below.

[1142] User Roles

[1143] Users first install the application on their communication device and create an account. Then, they register family members and agree to the privacy policy and data collection. By agreeing to SNS integration, the device will be able to collect SNS account data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.).

[1144] The role of communication terminals

[1145] The communication device periodically collects data from the user's registered social media accounts, behavioral logs, and emotional data from the emotion engine. This data is encrypted and sent to a server. For example, a typical smartphone such as an Android device or iPhone can be used as the communication device.

[1146] Server Roles

[1147] The server receives and analyzes data sent from the communication device. Specifically, it extracts important events, analyzes sentiment, and filters personal information. The analyzed data is converted into diary-style text using a natural language generation model. This text is periodically distributed to the user's communication device, and updates are notified to the user via a notification function.

[1148] The role of the emotional engine

[1149] The emotion engine analyzes emotions from users' social media posts and behavioral logs and sends the results to a server. This engine uses natural language processing and speech recognition technology to determine the user's emotions. For example, it can use the Hugging Face Transformers library.

[1150] Hardware and software used

[1151] Hardware: Smartphones, tablets, smart glasses

[1152] Software: Android SDK, iOS SDK, Twitter API, Facebook Graph API, Python, requests, nltk, pandas, Transformers by Hugging Face, GPT-3 / GPT-4, Firebase Cloud Messaging

[1153] Specific examples

[1154] For example, suppose a family member posts, "Today we had a fun picnic in the park." In this case, the emotion engine analyzes the post as "fun," and the data is encrypted and sent to the server. Based on the post and the analysis results, the server extracts keywords such as "park," "picnic," and "fun," and uses these to generate emotionally rich diary-style text. This generation utilizes natural language generation models such as GPT-3 and GPT-4.

[1155] Prompt Sentence Examples

[1156] "Important events: park, picnic.\nEmotions: fun time\nGenerate sentences in diary format."

[1157] This system allows users to share their family's daily happenings and enjoy emotional communication even when they are far apart. Furthermore, privacy is protected, so users can use it with peace of mind.

[1158] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1159] Step 1:

[1160] The user installs the application using a communication device and creates an account. They also register family members and agree to the privacy policy and data collection. This enables data integration, and SNS integration and activity log collection begin. The input is family member information and consent details, and the output is the family member's registration data and consent information.

[1161] Step 2:

[1162] The communication device periodically collects posts from users' social media accounts, location information, and activity logs. Specifically, it acquires data using the Twitter API and Facebook Graph API. The input is post data and location information from the social media accounts, and the output is the collected data. The collected data is encrypted and sent to a server for further processing.

[1163] Step 3:

[1164] The communication device uses an emotion engine to analyze emotions from collected SNS posts and behavioral logs. For example, emotion analysis is performed using the Hugging Face Transformers library. The input is the data collected in step 2, and the output is the analyzed emotion data. The emotion data is also encrypted and sent to the server.

[1165] Step 4:

[1166] The server receives the data sent from the communication terminal. Specifically, it receives the data and performs the process of decompressing and decrypting it. The input is the encrypted collected data and emotion data, and the output is the decompressed data. This prepares the data for analysis.

[1167] Step 5:

[1168] The server analyzes the received data, extracts important events, and generates diary-style sentences using a natural language generation model based on the emotion data. Specifically, it uses pandas to analyze the data, and then uses GPT-3 or GPT-4 to generate sentences using the extracted results and emotion data. The input is the various received data, and the output is diary-style sentences.

[1169] Step 6:

[1170] The server periodically distributes the created diary entries to the communication device and notifies the user. For example, notifications are sent using Firebase Cloud Messaging. The input is the created diary-style text, and the output is a notification sent to the user's communication device. This allows the user to immediately check new diary entries.

[1171] Step 7:

[1172] The user can view the created diary using a communication terminal. This allows family members to share daily events and enjoy emotional communication. The input is diary-style text sent from the server, and the output is the user's viewing behavior.

[1173] Through the above processing steps, the present invention provides a specific system for emotionally sharing everyday events among family members living far apart and deepening ties.

[1174] 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.

[1175] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1176] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1177] [Fourth embodiment]

[1178] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1179] 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.

[1180] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1181] 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.

[1182] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1183] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1184] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1185] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1186] 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.

[1187] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1188] 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.

[1189] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1190] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1191] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, and a server.

[1192] User Roles

[1193] The user first registers family members using a communication device and agrees to the collection of social media links and activity logs, allowing the system to collect posts, location information, and other information from the user's social media account.

[1194] The role of communication terminals

[1195] The communication device periodically collects data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.) from the user's registered SNS account. The collected data is encrypted and sent to the server.

[1196] Server Roles

[1197] The server receives and analyzes the data sent from the communication device. Specifically, it extracts important events, analyzes emotions, and performs privacy filtering. The analyzed data is converted into diary-style text that records the family's daily life. The generated diary is periodically distributed to the user's communication device, where the user can view it.

[1198] Specific examples

[1199] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[1200] The communication device collects the post and location information, encrypts it, and sends it to the server.

[1201] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[1202] The server uses the extracted content and converts it into diary-style text.

[1203] The resulting diary entry would be "Today's family news: Dad had a picnic in the park and had a great time."

[1204] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[1205] The user can view the received diary and share the contents with the whole family to enjoy.

[1206] Privacy Protection

[1207] The server performs privacy filtering of the data to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. In addition, sentiment analysis is used to prioritize events that are deemed important to the user.

[1208] This system allows users to share daily happenings with family members who live far away, eliminating communication gaps and deepening family ties.

[1209] The processing flow will be explained below.

[1210] Step 1:

[1211] Users install the application via their communication device, create an account, register family members, and agree to social media integration and behavioral log collection on the privacy policy and data collection consent screen.

[1212] Step 2:

[1213] The communication terminal receives the consent information from the user, temporarily stores it in local storage, digitally signs the consent form, and sends it to the server.

[1214] Step 3:

[1215] The server securely stores the received consent data in a database, creates a family member list, and schedules data collection tasks for each member.

[1216] Step 4:

[1217] The communication device periodically collects data such as new posts, photos, and comments from the user's social media account based on a schedule. It also uses a GPS module to collect location information and record activity history.

[1218] Step 5:

[1219] The communication device temporarily stores the collected SNS data and location information in local storage, encrypts the data, and sends it to the server using a secure communication protocol (HTTPS).

[1220] Step 6:

[1221] The server deserializes the received data and stores it in a database. It then activates the AI ​​model and begins analyzing the collected data, specifically extracting important events, analyzing sentiment, and filtering privacy information.

[1222] Step 7:

[1223] The server then uses the analysis results to summarize the highlights and important events of the day, and uses natural language generation technology to convert the data into diary-style text.

[1224] Step 8:

[1225] The server filters out unwanted words and checks each entry to ensure privacy. It then outputs the completed diary entry in JSON or another appropriate format and prepares the diary entry data for transmission to the device.

[1226] Step 9:

[1227] The communication device periodically (e.g., weekly or monthly) receives diary-style reports. The received data is stored in local storage, and a notification function is used to notify the user that the diary has been updated.

[1228] Step 10:

[1229] Users open the app, view their new diary entry, and use the comments feature to share thoughts and additional memories with the whole family.

[1230] Example 1

[1231] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1232] With conventional systems, it is difficult for family members living far away from each other to smoothly share daily events, resulting in a lack of communication. In addition, handling data from the perspective of privacy protection is also an issue. Furthermore, since manually creating a diary takes time and effort, automation was required.

[1233] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1234] In this invention, the server includes means for extracting important events using natural language processing technology, performing sentiment analysis, and converting the events into diary-style text, means for removing personal information and specific keywords through privacy filtering, and means for generating text based on specified prompts using a generative AI model. This allows users to easily share daily events with family members who are far away, facilitating communication and deepening family ties.

[1235] A "communication terminal" is a device used by a user that has the function of collecting data from social networking services and transmitting encrypted data to a server.

[1236] A "social networking service" is an online platform where users post about their daily activities, and examples include social networking sites and applications.

[1237] An "action log" is data that records a user's location information and activity history.

[1238] A "server" is a computer system that receives data sent from a communication terminal and analyzes and processes it.

[1239] "Natural language processing technology" is a technology that enables computers to understand, analyze, and generate human language, and is used to analyze text data and perform sentiment analysis.

[1240] "Sentiment analysis" is a technology that extracts emotional elements (positive, negative, etc.) from posted text data.

[1241] "Privacy filtering" is a technology that removes personal information and specific keywords during data analysis.

[1242] A "generative AI model" is an artificial intelligence model that automatically generates sentences based on prompts, etc.

[1243] A "prompt" is an instruction or question entered into an AI model, and is the text that serves as the basis for the AI's response.

[1244] MODE FOR CARRYING OUT THE INVENTION

[1245] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, and a server.

[1246] User Roles

[1247] Users install a dedicated application on a communication device such as a smartphone or tablet and register family members. When registering, users agree to link with social networking services (SNS) and to the collection of activity logs. For example, users can enter their SNS account details within the app and authorize linking.

[1248] The role of communication terminals

[1249] The communication device periodically collects data from the social networking account registered by the user. This data is retrieved using the social networking application programming interface (API) to retrieve data such as posts, photos, comments, location information, and activity history. The collected data is then sent to a server in a secure state using encryption algorithms such as AES (Advanced Encryption Standard).

[1250] Server Roles

[1251] The server receives the data sent from the communication device, first decrypts it, and then analyzes it using Python scripts and the natural language processing (NLP) libraries "spaCy" or "NLTK." Specifically, it performs the following processes:

[1252] 1. Extraction of important events

[1253] 2. Sentiment analysis

[1254] 3. Privacy Filtering

[1255] For example, if a father posts, "Today I had a fun picnic at the park," the server extracts keywords such as "picnic" and "fun time" from the post. Sentiment analysis then classifies the post as a positive event. Privacy filtering removes personal information and certain prohibited words.

[1256] Diary-style text generation

[1257] The server uses the analyzed and filtered data to input prompts into a generative AI model (e.g., GPT-3) to generate diary-style text. Examples of prompts include:

[1258] Use the posts below to create a diary-style piece of writing that will help strengthen family bonds.

[1259] Post: I had a fun picnic in the park today

[1260] Location: [latitude, longitude]

[1261] The generated sentence would be "Today's family news: Dad had a picnic in the park and had a great time."

[1262] Diary distribution and viewing

[1263] The communication device periodically receives diary-style text sent from the server and notifies the user of updates via push notifications. Users tap the notification to open the application, view the created diary, and share the contents with the whole family. Users can also share their thoughts using the app's comment function, further promoting communication.

[1264] This system allows users to easily share daily happenings with far-away family members, eliminating communication gaps and deepening family ties.

[1265] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1266] Processing Step Description

[1267] Step 1:

[1268] The user installs a dedicated application using a communication terminal and registers family members.

[1269] Input: Family member information, SNS account information

[1270] How it works: The application displays a user input form, and the user enters the names of family members and social media account information.

[1271] Output: Registered family member information, SNS account link permission

[1272] Step 2:

[1273] The communication terminal periodically collects data from registered SNS accounts.

[1274] Input: Registered SNS account information

[1275] How it works: It uses social networking site APIs to collect data such as posts, photos, comments, and location information. The collected data is encrypted using the AES encryption algorithm.

[1276] Output: Encrypted social media data

[1277] Step 3:

[1278] The communication terminal transmits the encrypted data to the server.

[1279] Input: Encrypted social media data

[1280] How it works: The communication device sends encrypted data to the server using the HTTPS protocol.

[1281] Output: Encrypted data sent to the server

[1282] Step 4:

[1283] The server decrypts the received data and stores it in a database.

[1284] Input: Encrypted social media data

[1285] How it works: The server decrypts the data using the AES decryption algorithm and stores it in the database.

[1286] Output: Decrypted social media data

[1287] Step 5:

[1288] The server analyzes the received data and extracts important events.

[1289] Input: Social media data stored in the database

[1290] How it works: It uses a Python script to extract important keywords and events using natural language processing libraries (spaCy and NLTK).

[1291] Output: Extracted significant events

[1292] Step 6:

[1293] The server performs the sentiment analysis.

[1294] Input: Extracted significant events

[1295] How it works: Using natural language processing technology (such as VADER), it analyzes sentiment from the content of posts.

[1296] Output: Sentiment label (positive, negative, etc.)

[1297] Step 7:

[1298] The server performs privacy filtering.

[1299] Input: Extracted important events, emotion labels

[1300] What it does: Uses a privacy filtering script to remove personal information and specific blacklist words from your data.

[1301] Output: Filtered data

[1302] Step 8:

[1303] The server generates diary-style text using a generative AI model.

[1304] Input: filtered data, prompt statement

[1305] How it works: A prompt sentence is fed into a generative AI model (e.g., GPT-3), which generates an appropriate diary-style sentence.

[1306] Output: Generated diary-style text

[1307] Step 9:

[1308] The communication terminal receives the created diary from the server and distributes it to the user.

[1309] Input: Generated diary-style text

[1310] Behavior: Diary entries received from the server are sent to the user as push notifications.

[1311] Output: Diary delivered to the user

[1312] Step 10:

[1313] The user can view the delivered diary and share it with family members.

[1314] Input: Published diary

[1315] How it works: Users tap the notification to open the application, view the diary entry, and share their thoughts using the in-app comment feature.

[1316] Output: Viewed and shared diary entries

[1317] Through these steps, users can easily share daily happenings with far-away family members, resolving communication gaps and deepening family ties.

[1318] (Application example 1)

[1319] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1320] In modern society, a lack of communication and a loss of connection between family members and customers is a problem. There is also a lack of ways for customers to effectively share their experiences in physical stores and deepen their bonds with each other and with store staff. This has led to issues such as a decline in customer satisfaction and repeat visits.

[1321] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1322] In this invention, the server includes: a means for a user to register family members or customers of a physical store via a communication terminal and agree to SNS integration and the collection of behavioral logs; a means for the communication terminal to collect posts and location information from the user's SNS account, encrypt the collected information, and transmit it to the server; a means for the server to analyze the received data, extract important events, and convert them into diary-style text or in-store experience records; and a means for periodically distributing the generated diary or experience records to the communication terminal and allowing the user to view the diary or experience records. This allows for deeper ties between family members who are far apart, effectively sharing customer experiences at physical stores, and strengthening relationships between customers and store staff.

[1323] 1. "User" refers to an individual or brick-and-mortar customer who uses the System.

[1324] 2. "Communication terminal" refers to a device used by a user, such as a smartphone, tablet, or computer, for connecting to SNS, collecting behavioral logs, and communicating data with the server.

[1325] 3. "SNS integration" refers to the process of linking a user's social networking service (SNS) account with the system and collecting data such as SNS posts, comments, and photos.

[1326] 4. "Behavior log" refers to data that records a user's daily behavior, including location information and activity history.

[1327] 5. "Encryption" refers to the technology of converting collected data into a format that cannot be easily deciphered by third parties in order to protect the data.

[1328] 6. "Server" refers to a computer system that receives, analyzes, and stores data sent from a communication terminal.

[1329] 7. "Important Event" means an event that is of particular interest or significance to users or store customers.

[1330] 8. "Diary-style writing" refers to opening sentences generated to record daily events based on data collected and analyzed by the server.

[1331] 9. "In-store experience record" refers to a document used to record and share the events and impressions experienced by customers in a physical store.

[1332] 10. "Periodic distribution" refers to sending the diary or experience records created at regular intervals to the communication device.

[1333] 11. "Privacy filtering" refers to the process of properly protecting personal and sensitive information and ensuring that unnecessary information is not included in diaries and experience records.

[1334] 12. "Sentiment analysis" refers to the technology of analyzing the emotional state of users or customers from collected data and extracting important events.

[1335] 13. "Natural language generation model" refers to an artificial intelligence technology that automatically generates sentences in a format that is easy for humans to understand, based on collected and analyzed data.

[1336] 14. "Notification function" refers to the function that notifies the user's communication device of the created diary or experience record.

[1337] This invention begins when a user registers family members or customers of a physical store via a communication device and agrees to social media integration and the collection of activity logs. The user then uses the device to collect posts and location information from their social media accounts. The collected data is encrypted on the device and sent to a server.

[1338] User Roles

[1339] First, the user sets up the following on the communication device:

[1340] 1. Registering family members or brick-and-mortar customers.

[1341] 2. Set up linking with your SNS account.

[1342] 3. I agree to the collection of behavioral logs.

[1343] This allows the system to collect posts, location information, activity history, and more from users' social media accounts.

[1344] The role of communication terminals

[1345] The communication terminal has the following responsibilities:

[1346] 1. Regular collection of SNS account data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.).

[1347] 2. Encryption of collected data (for example, using AES encryption).

[1348] 3. Sending the encrypted data to the server.

[1349] Server Roles

[1350] The server does the following:

[1351] 1. Receive and analyze data sent from the communication terminal.

[1352] 2. Extract key events, perform sentiment analysis, and privacy filtering (Software used: Natural Language Processing libraries (e.g., NLTK, TextBlob), generative AI models (e.g., GPT-3)).

[1353] 3. Based on the extracted content, it is converted into diary-style writing or a record of the in-store experience.

[1354] 4. The generated diary or experience record is periodically distributed to the user's communication device.

[1355] The following are examples of specific prompts that the server uses to analyze data and generate a diary:

[1356] "Generate a diary-style text based on the following information:

[1357] Username: user1

[1358] Posted by: I attended a new product launch today and it was so much fun!

[1359] Location: Store 1

[1360] Activity: New product launch event

[1361] output:"

[1362] Privacy Protection

[1363] The server performs privacy filtering of the data. To protect privacy, certain prohibited words and personal information are filtered out so that they are not included in the diary or experience log. Sentiment analysis is also used to prioritize events that are important to the user.

[1364] Specific examples

[1365] For example, if a user attends a product launch event at a brick-and-mortar store and posts about their experience on social media:

[1366] 1. The communication device collects the post and location information, encrypts it, and sends it to the server.

[1367] 2. The server analyzes the received data and extracts keywords such as "new product launch" and "fun."

[1368] 3. The server converts the extracted content into diary-style text.

[1369] 4. The generated diary entry will be "Today's experience record: I attended the new product launch event at store 1 and had a great time."

[1370] 5. The communication terminal periodically distributes the created diary and notifies the user of updates using the notification function.

[1371] This system allows users to effectively share daily happenings and experiences with family members or customers of physical stores, deepening communication and communicating the appeal of physical stores to more customers.

[1372] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1373] Step 1:

[1374] The user registers family members or customers of a physical store using a communication device and agrees to SNS integration and the collection of behavioral logs. This completes the initial setup for the user. Specifically, the user launches the dedicated app on the communication device, enters the required information on the registration screen, and agrees to SNS account integration. Input data includes user information and SNS authentication information, and the output is the account's initial setup completed state.

[1375] Step 2:

[1376] The communication device periodically collects posts, photos, comments, and location information from the user's social media account. The collected data is first temporarily stored within the communication device. The software used includes the social media API and location information acquisition API. The input data is each social media post and location information, and the output is the temporarily stored collected data.

[1377] Step 3:

[1378] The data collected by the communication terminal is encrypted using AES. An encryption library (e.g., Python's PyCrypto) is used to convert the data into a format that protects it from third parties. The input data is the temporarily stored collected data, and the output is the encrypted data.

[1379] Step 4:

[1380] Encrypted data is sent from the communication terminal to the server. HTTPS is used as the communication protocol. The input data is encrypted data, and the output is a notification to the server that data transmission has been completed.

[1381] Step 5:

[1382] The server analyzes the received data and extracts particularly important events. It uses a natural language processing library (e.g., NLTK, TextBlob) to analyze the post content and extract important keywords. The input data is the received encrypted data, and the output is a set of analyzed meaningful keywords.

[1383] Step 6:

[1384] The server performs sentiment analysis on the parsed data, using libraries such as TextBlob to determine the positive and negative sentiment of the post. The input data is a set of important keywords, and the output is the sentiment analysis results.

[1385] Step 7:

[1386] The server performs privacy filtering, applying algorithms to filter out specific NG words and personal information, eliminating information that needs to be protected. The input data is the sentiment analysis result, and the output is the filtered data.

[1387] Step 8:

[1388] The server generates diary-style text based on the filtered data. It uses a generative AI model (e.g., GPT-3) to create text in a format that is easy for humans to understand. The server generates text using prompts such as the following:

[1389] "Generate a diary-style text based on the following information:

[1390] Username: user1

[1391] Posted by: I attended a new product launch today and it was so much fun!

[1392] Location: Store 1

[1393] Activity: New product launch event

[1394] output:"

[1395] The generated sentence would be "Today's experience record: I attended the new product launch event at store 1 and had a great time."

[1396] Step 9:

[1397] The server periodically distributes the generated diary-style text or experience records to the communication device. The distribution method is to notify the user's communication device of updates using a notification API. The input data is the generated text, and the output is a notification of distribution completion to the communication device.

[1398] Step 10:

[1399] The user views the diary or experience record received on the communication device. After receiving the notification, the user launches the app and checks the content. The input data is the delivered diary or experience record, and the output is the user's browsing behavior.

[1400] Through the above process, users can effectively share everyday events and experiences with family members or customers in physical stores.

[1401] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1402] The present invention provides a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine.

[1403] User Roles

[1404] First, users install the application on their communication device and create an account. Next, they register their family members and agree to social media integration and the collection of behavioral logs on the privacy policy and data collection consent screen. The emotion engine recognizes emotions from users' comments and posts and sends them to the server.

[1405] The role of communication terminals

[1406] The communication device periodically collects data from the user's registered social media account (posts, photos, comments, etc.), behavioral logs (location information, activity history, etc.), and emotion data from the emotion engine. The collected data is encrypted and sent to a server.

[1407] Server Roles

[1408] The server receives and analyzes the data sent from the communication device. Specifically, it extracts important events, analyzes emotions, and performs privacy filtering. The analyzed data is converted into diary-style text that records the family's daily life. The generated diary is periodically distributed to the user's communication device, where the user can view it.

[1409] The role of the emotional engine

[1410] The emotion engine analyzes emotions from users' social media posts and activity logs and sends the results to a server. The emotion engine uses natural language processing and voice recognition technologies to determine the user's emotions. This enables prioritization of events included in the diary and expressing rich emotions.

[1411] Specific examples

[1412] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[1413] The communication device collects the posts and location information, and an emotion engine analyzes the emotion of "fun."

[1414] The collected data, along with the emotion engine data, is encrypted and sent to a server.

[1415] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[1416] The server uses the extracted content and emotion data to convert the text into diary format.

[1417] The resulting diary entry becomes a sentence that reflects emotion, such as "Today's family news: Dad had a picnic in the park and had a great time," and is expressed with rich emotion using an emotion engine.

[1418] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[1419] The user can view the received diary and share the contents with the whole family to enjoy.

[1420] Privacy Protection

[1421] The server performs privacy filtering of the data to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. Sentiment analysis is also used to prioritize events that are deemed important to the user.

[1422] This system allows users to share daily events with family members who live far away, eliminating communication gaps and deepening family bonds. The introduction of an emotion engine makes diary entries more emotionally rich, further enhancing the experience of sharing with the whole family.

[1423] The processing flow will be explained below.

[1424] Step 1:

[1425] Users install the application via their communication device, create an account, register family members, and agree to the use of social networking services, behavioral log collection, and the emotion engine on the privacy policy and data collection consent screen.

[1426] Step 2:

[1427] The communication terminal receives the consent information from the user, temporarily stores it in local storage, digitally signs the consent form, and sends it to the server.

[1428] Step 3:

[1429] The server securely stores the received consent data in a database, creates a family member list, and schedules data collection tasks for each member.

[1430] Step 4:

[1431] The communication device periodically collects data such as new posts, photos, and comments from the user's social media account based on a schedule. It also uses a GPS module to collect location information and record activity history.

[1432] Step 5:

[1433] The communication device temporarily stores the collected SNS data, location information, and emotion data generated by the emotion engine in local storage. The data is then encrypted and sent to the server using a secure communication protocol (HTTPS).

[1434] Step 6:

[1435] The server deserializes the received data and stores it in a database. It then activates the AI ​​model and begins analyzing the collected data, specifically extracting important events, analyzing sentiment, and filtering privacy information.

[1436] Step 7:

[1437] The emotion engine analyzes emotions from social media posts and behavioral logs. For example, it analyzes the emotion "fun" from a post such as "I had a fun picnic in the park today." It then sends the emotional information contained in the event to the server.

[1438] Step 8:

[1439] The server then summarizes the highlights and important events of the day based on the analysis results, converts the data into diary-style text using natural language generation technology, and adds emotional expressions to the text using emotion data provided by the emotion engine.

[1440] Step 9:

[1441] The server filters out unwanted words and checks each entry to ensure privacy. It then outputs the completed diary entry in JSON or another appropriate format and prepares the diary entry data for transmission to the device.

[1442] Step 10:

[1443] The communication device receives diary-style reports periodically (e.g., weekly or monthly). The received data is stored in local storage, and the notification function notifies the user that the diary has been updated.

[1444] Step 11:

[1445] Users open the app, view their new diary entry, and use the comments feature to share their thoughts and additional memories with the whole family. Analysis by the emotion engine helps make the diary entry more moving and relatable.

[1446] Example 2

[1447] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1448] In modern society, when family members live far apart, there is a lack of daily communication, which can weaken family ties. Conventional social media and messaging apps focus on one-way information sharing, making it difficult for all family members to share daily events and experiences in an emotionally rich way.

[1449] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1450] In this invention, the server includes: a means for a user to register family members via a communication terminal and agree to SNS integration and collection of behavior logs; a means for the communication terminal to collect posts and location information from the user's SNS account, encrypt them, and transmit them to the server; a means for the server to analyze the received data, extract important events using natural language processing technology, and convert them into diary-style text; a means for using a generative AI model to generate emotional text that reflects emotional data; and a means for periodically delivering the generated diary to the communication terminal and allowing the user to view the diary. This enables emotionally rich daily events to be shared among family members who are far apart, deepening family ties.

[1451] A "user" refers to an individual who uses this system and is registered in the system as a family member via a communication terminal.

[1452] A "communication terminal" is a device used by a user, such as a smartphone or tablet, that collects posts and location information from SNS accounts and provides a means to send data to a server.

[1453] "SNS integration" is a mechanism that connects users' SNS accounts to the system to collect and share data such as posts, comments, and location information.

[1454] An "action log" records behavioral data such as a user's location information and activity history.

[1455] The "server" is a central system device that analyzes data received from communication devices, extracts important events, generates emotive diary-style text using a generative AI model, and periodically distributes it to communication devices.

[1456] "Natural language processing technology" refers to technology used by the server to extract important events and emotions from the data received, and includes NLP libraries, etc.

[1457] A "generative AI model" is an artificial intelligence model used to generate emotive sentences that reflect emotional data, such as GPT-3.

[1458] "Privacy filtering" is a method of properly protecting personal information by filtering out personal information and specific prohibited words from the data received by the server.

[1459] "Sentiment analysis" is a technology in which a server or emotion engine analyzes emotions from user posts and behavioral logs, and reflects the results in data selection and diary generation.

[1460] "Diary-style writing" is writing that uses a server-generated AI model to express the user's daily life events in an emotional way, and is shared among family members.

[1461] "Periodic delivery" means that the server transmits the diary-style texts it has created to the communication terminal according to a specific schedule.

[1462] The present invention relates to a system for sharing daily events among family members living far away from each other and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine.

[1463] User Roles

[1464] First, users install the application on their communication device and create an account. Next, they register their family members and agree to the privacy policy and data collection. After that, they start using the system by agreeing to social media integration and the collection of behavioral logs.

[1465] The role of communication terminals

[1466] The communication device periodically collects data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.) from the user's registered social media account. The collected data is encrypted using AES encryption technology within the device and sent to the server via the HTTPS protocol.

[1467] Server Roles

[1468] The server receives and analyzes the data sent from the communication device. This analysis process uses natural language processing technology (e.g., NLTK or SpaCy) and sentiment analysis algorithms. The server extracts important events and converts them into diary-style text. For example, if one day a user posts, "I had a fun picnic in the park today," the server analyzes this post and location information, extracts the keywords "picnic" and "fun," and uses a generative AI model (e.g., GPT-3) to generate an emotionally rich text such as, "Today's family news: Dad had a picnic in the park and had a great time."

[1469] The role of the emotional engine

[1470] The emotion engine analyzes emotions from users' social media posts and activity logs. It uses natural language processing and speech recognition technologies to determine the user's emotions. This allows it to prioritize events included in the diary and express them in a rich, emotional way.

[1471] Privacy Protection

[1472] The server performs privacy filtering to ensure that personal information is properly protected. If certain prohibited words or personal information are included, they are filtered out and not included in the diary. In addition, sentiment analysis is used to prioritize events that are deemed important to the user.

[1473] Specific examples

[1474] For example, if one day Dad posts, "Today was a fun picnic at the park," then:

[1475] The communication device collects the posts and location information, and an emotion engine analyzes the emotion of "fun."

[1476] The collected data is encrypted and sent to a server.

[1477] The server analyzes the received data and extracts keywords such as "picnic" and "fun time."

[1478] The server uses the extracted content and emotion data to convert the text into diary format.

[1479] The resulting diary entry contains sentences that reflect emotions, such as "Today's family news: Dad had a picnic in the park and had a great time."

[1480] The communication terminal periodically distributes the created diary and notifies the user of updates using a notification function.

[1481] The user can view the received diary and share the contents with the whole family to enjoy.

[1482] Prompt Sentence Examples

[1483] Here are some example prompts to input to a generative AI model:

[1484] "We have a system that allows far-flung family members to share daily events and deepen their bonds. This system includes a user, a communication device, a server, and an emotion engine. The user installs the app on their communication device and agrees to social media integration and the collection of their behavioral logs. The communication device collects data, encrypts it, and sends it to the server. The server analyzes the data and generates diary-style text. The emotion engine analyzes emotions and reflects them in the diary. Finally, the generated diary is shared among the family."

[1485] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1486] Step 1:

[1487] A user installs the application on a communication device, creates an account, and registers family members. The information entered here includes the user's personal information, information about family members, and information about SNS account connections. This creates a user database.

[1488] Step 2:

[1489] The user confirms their consent to the privacy policy and data collection, and agrees to social media integration and the collection of behavioral logs. This officially begins use of the service. The information entered is the user's consent information.

[1490] Step 3:

[1491] The communication device periodically collects posted data, photos, comments, location information, and activity history from the user's SNS account. This data becomes input data, and the data is protected using encryption technology (e.g., AES encryption), which generates encrypted data.

[1492] Specifically, the communication device calls SNS APIs (e.g., Facebook API, Twitter API) to obtain the user's latest posts and location information. The obtained data is first encrypted; it is not used as is.

[1493] Step 4:

[1494] The communication terminal periodically transmits the encrypted data to the server. Specifically, the communication terminal transmits encrypted data packets using the HTTPS protocol.

[1495] Step 5:

[1496] The server decrypts the encrypted data received from the communication terminal and analyzes it. The main part of the analysis is performed using natural language processing (NLP) technology to extract new events and their emotions.

[1497] Specifically, the server uses Python NLP libraries (e.g., NLTK or SpaCy) to extract keywords and sentiment from posts. The input data for this analysis process is the decoded post data, and the analysis results are key events and sentiment data.

[1498] Step 6:

[1499] The server uses a generative AI model (e.g., GPT-3) to generate diary-style sentences based on the extracted data. A prompt sentence is input into the generative AI model, causing it to output emotive sentences.

[1500] Specifically, the generative AI model is fed the prompt "Today's family news: Dad had a picnic in the park and had a great time" along with the analyzed emotion data. The output is an emotive diary-style text.

[1501] Step 7:

[1502] The server sets up a scheduling task (e.g., a CRON job) to periodically distribute the created diary to the communication device. Based on the set schedule, the diary is pushed to the communication device.

[1503] Step 8:

[1504] The communication terminal notifies the user of the received diary entry and provides an interface for the user to view the diary entry. The input data is the diary entry data received from the server, and the output is the diary entry displayed on the user's terminal.

[1505] Specifically, the device receives a push notification using a notification service such as Firebase Cloud Messaging (FCM) to notify the user that a new diary entry has been delivered. When the user taps the notification, the app opens and the diary entry is displayed.

[1506] Step 9:

[1507] The user can view the diary delivered to the communication device and share it with the whole family. The input of this step is the diary data delivered to the device, and the output is the user's viewing and sharing.

[1508] (Application example 2)

[1509] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1510] In modern society, it is difficult for family members who live far away to share daily events and deepen emotional connections. In particular, there is a need to centralize individual posts and data from social networking sites and photo sharing services and provide them in diary format, so that all family members can have common topics and enjoy emotionally rich interactions. Furthermore, there is a need to perform emotion analysis and generate diaries that reflect users' emotions richly while protecting their privacy.

[1511] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: a means for a user to register family members via a communication terminal and agree to data linking and activity log collection; a means for the communication terminal to collect posts and location information from the user's data account, encrypt the collected information, and transmit it to the server; a means for the server to analyze the received data, extract important events, and convert them into diary-style text; a means for periodically distributing the generated diary to the communication terminal and allowing the user to view the diary; a means for generating diary-style text using a natural language generation model; a means for the communication terminal to analyze emotions and transmit the emotion to the server; a means for the server to generate a diary containing emotional expressions based on the emotion analysis data; and a means for notifying the user of the generated diary using a notification function. This allows distant family members to share emotionally charged daily events, alleviating communication gaps and deepening family ties. Furthermore, user privacy is protected, and important events are expressed emotionally, allowing all family members to share common topics and interact with each other.

[1512] "User" refers to an individual who uses this system to share information among family members.

[1513] A "communication terminal" is a device used by a user, such as a smartphone or tablet, that has data collection and notification functions.

[1514] "Family members" refers to people with whom information is shared, such as relatives or close friends, who are registered by the user.

[1515] "Data integration" refers to obtaining information from social media and related accounts and handling it centrally.

[1516] "Behavior log" refers to data such as a user's movement history and activity history.

[1517] "Encryption" is a method of ensuring security by converting data to be transmitted into a format that cannot be understood by third parties.

[1518] A "server" is a central system that analyzes and processes received data and delivers necessary information to users.

[1519] A "natural language generation model" refers to AI technology for generating natural-sounding sentences based on given data.

[1520] "Sentiment analysis" is a technology that extracts and analyzes emotions from user posts and behavioral data.

[1521] "Emotionally rich expression" is a text generation technology that reflects the results of emotion analysis and produces more human-like expressions.

[1522] The "notification function" is a function that notifies the user whenever new information or diary entries are created.

[1523] "Privacy filtering" is a technology that automatically detects and removes personal information and inappropriate content.

[1524] "Significant events" refer to notable events or events that have a strong emotional impact on a user's daily life.

[1525] This invention is a system for sharing daily events among family members who are far apart and deepening ties between them. The system includes a user, a communication terminal, a server, and an emotion engine. Specific embodiments are described below.

[1526] User Roles

[1527] Users first install the application on their communication device and create an account. Then, they register family members and agree to the privacy policy and data collection. By agreeing to SNS integration, the device will be able to collect SNS account data (posts, photos, comments, etc.) and behavioral logs (location information, activity history, etc.).

[1528] The role of communication terminals

[1529] The communication device periodically collects data from the user's registered social media accounts, behavioral logs, and emotional data from the emotion engine. This data is encrypted and sent to a server. For example, a typical smartphone such as an Android device or iPhone can be used as the communication device.

[1530] Server Roles

[1531] The server receives and analyzes data sent from the communication device. Specifically, it extracts important events, analyzes sentiment, and filters personal information. The analyzed data is converted into diary-style text using a natural language generation model. This text is periodically distributed to the user's communication device, and updates are notified to the user via a notification function.

[1532] The role of the emotional engine

[1533] The emotion engine analyzes emotions from users' social media posts and behavioral logs and sends the results to a server. This engine uses natural language processing and speech recognition technology to determine the user's emotions. For example, it can use the Hugging Face Transformers library.

[1534] Hardware and software used

[1535] Hardware: Smartphones, tablets, smart glasses

[1536] Software: Android SDK, iOS SDK, Twitter API, Facebook Graph API, Python, requests, nltk, pandas, Transformers by Hugging Face, GPT-3 / GPT-4, Firebase Cloud Messaging

[1537] Specific examples

[1538] For example, suppose a family member posts, "Today we had a fun picnic in the park." In this case, the emotion engine analyzes the post as "fun," and the data is encrypted and sent to the server. Based on the post and the analysis results, the server extracts keywords such as "park," "picnic," and "fun," and uses these to generate emotionally rich diary-style text. This generation utilizes natural language generation models such as GPT-3 and GPT-4.

[1539] Prompt Sentence Examples

[1540] "Important events: park, picnic.\nEmotions: fun time\nGenerate sentences in diary format."

[1541] This system allows users to share their family's daily happenings and enjoy emotional communication even when they are far apart. Furthermore, privacy is protected, so users can use it with peace of mind.

[1542] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1543] Step 1:

[1544] The user installs the application using a communication device and creates an account. They also register family members and agree to the privacy policy and data collection. This enables data integration, and SNS integration and activity log collection begin. The input is family member information and consent details, and the output is the family member's registration data and consent information.

[1545] Step 2:

[1546] The communication device periodically collects posts from users' social media accounts, location information, and activity logs. Specifically, it acquires data using the Twitter API and Facebook Graph API. The input is post data and location information from the social media accounts, and the output is the collected data. The collected data is encrypted and sent to a server for further processing.

[1547] Step 3:

[1548] The communication device uses an emotion engine to analyze emotions from collected SNS posts and behavioral logs. For example, emotion analysis is performed using the Hugging Face Transformers library. The input is the data collected in step 2, and the output is the analyzed emotion data. The emotion data is also encrypted and sent to the server.

[1549] Step 4:

[1550] The server receives the data sent from the communication terminal. Specifically, it receives the data and performs the process of decompressing and decrypting it. The input is the encrypted collected data and emotion data, and the output is the decompressed data. This prepares the data for analysis.

[1551] Step 5:

[1552] The server analyzes the received data, extracts important events, and generates diary-style sentences using a natural language generation model based on the emotion data. Specifically, it uses pandas to analyze the data, and then uses GPT-3 or GPT-4 to generate sentences using the extracted results and emotion data. The input is the various received data, and the output is diary-style sentences.

[1553] Step 6:

[1554] The server periodically distributes the created diary entries to the communication device and notifies the user. For example, notifications are sent using Firebase Cloud Messaging. The input is the created diary-style text, and the output is a notification sent to the user's communication device. This allows the user to immediately check new diary entries.

[1555] Step 7:

[1556] The user can view the created diary using a communication terminal. This allows family members to share daily events and enjoy emotional communication. The input is diary-style text sent from the server, and the output is the user's viewing behavior.

[1557] Through the above processing steps, the present invention provides a specific system for emotionally sharing everyday events among family members living far apart and deepening ties.

[1558] 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.

[1559] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1560] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1561] 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.

[1562] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1563] 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.

[1564] 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).

[1565] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1566] 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."

[1567] 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.

[1568] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1569] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1570] 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.

[1571] 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.

[1572] 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.

[1573] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1574] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1575] 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.

[1576] 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.

[1577] 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.

[1578] 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.

[1579] The following is further disclosed regarding the above embodiment.

[1580] (Claim 1)

[1581] A means for users to register family members via a communication device and consent to SNS linkage and collection of behavior logs;

[1582] A means for a communication device to collect posts and location information from a user's SNS account, encrypt the information, and send it to a server;

[1583] A means for the server to analyze the received data, extract important events, and convert them into diary-style text;

[1584] a means for periodically distributing the created diary to a communication terminal and allowing a user to view the diary;

[1585] A system including:

[1586] (Claim 2)

[1587] 10. The system of claim 1, further comprising a scheduling means for periodically collecting data.

[1588] (Claim 3)

[1589] 10. The system of claim 1, wherein the server further comprises means for filtering data using privacy filtering and sentiment analysis.

[1590] "Example 1"

[1591] (Claim 1)

[1592] A means for a user to register family members via a communication terminal and consent to social networking service integration and collection of behavior logs;

[1593] A means for a communication terminal to collect posts and location information from a user's social networking service account, encrypt the collected information, and transmit it to a server;

[1594] A means for the server to analyze the received data, extract important events using natural language processing technology, perform sentiment analysis, and convert the data into diary-style text;

[1595] a means for periodically distributing the created diary to a communication terminal and allowing a user to view the diary;

[1596] Privacy filtering to remove personal information and specific keywords;

[1597] A means for sharing the created diary among users to promote communication;

[1598] A system including:

[1599] (Claim 2)

[1600] 10. The system of claim 1, further comprising a scheduling means for periodically collecting data.

[1601] (Claim 3)

[1602] 10. The system of claim 1, further comprising means for the server to use the generative AI model to generate a sentence based on a specified prompt sentence.

[1603] "Application Example 1"

[1604] (Claim 1)

[1605] A means for users to register family members or customers of physical stores via a communication terminal and agree to SNS linkage and collection of behavior logs;

[1606] A means for a communication device to collect posts and location information from a user's SNS account, encrypt the information, and send it to a server;

[1607] A means for the server to analyze the received data, extract important events, and convert them into diary-style text or in-store experience records;

[1608] a means for periodically distributing the created diary or experience record to a communication terminal and allowing a user to view the diary or experience record;

[1609] A system including:

[1610] (Claim 2)

[1611] 10. The system of claim 1, further comprising a scheduling means for periodically collecting data.

[1612] (Claim 3)

[1613] 10. The system of claim 1, wherein the server further comprises means for filtering data and generating sentences using privacy filtering, sentiment analysis, and natural language generation models.

[1614] "Example 2: Combining Emotion Engines"

[1615] (Claim 1)

[1616] A means for users to register family members via a communication device and consent to SNS linkage and collection of behavior logs;

[1617] A means for a communication device to collect posts and location information from a user's SNS account, encrypt the information, and send it to a server;

[1618] The server analyzes the received data, extracts important events using natural language processing technology, and converts them into diary-style text.

[1619] A means for generating emotionally rich sentences that reflect the emotion data using a generative AI model;

[1620] a means for periodically distributing the created diary to a communication terminal and allowing a user to view the diary;

[1621] A system including:

[1622] (Claim 2)

[1623] 10. The system of claim 1, further comprising a scheduling means for periodically collecting data.

[1624] (Claim 3)

[1625] 10. The system of claim 1, wherein the server further comprises means for filtering the data using privacy filtering means and sentiment analysis means.

[1626] "Application example 2 when combining emotion engines"

[1627] (Claim 1)

[1628] A means for a user to register family members via a communication terminal and consent to data linkage and collection of behavior logs;

[1629] A means for a communication terminal to collect posts and location information from a user's data account, encrypt the information, and transmit it to a server;

[1630] A means for the server to analyze the received data, extract important events, and convert them into diary-style text;

[1631] a means for periodically distributing the created diary to a communication terminal and allowing a user to view the diary;

[1632] A means for generating diary-style text using a natural language generation model;

[1633] A means for the communication terminal to analyze emotions and transmit the emotions to a server;

[1634] A means for the server to generate a diary containing emotional expressions based on emotion analysis data;

[1635] A means for notifying a user of the created diary using a notification function;

[1636] A system including:

[1637] (Claim 2)

[1638] 10. The system of claim 1, further comprising a scheduling means for periodically collecting data.

[1639] (Claim 3)

[1640] 10. The system of claim 1, wherein the server further comprises means for filtering data using privacy filtering and sentiment analysis. [Explanation of symbols]

[1641] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for users to register family members via a communication device and consent to SNS linkage and collection of behavior logs; A means for a communication device to collect posts and location information from a user's SNS account, encrypt the information, and send it to a server; A means for the server to analyze the received data, extract important events, and convert them into diary-style text; a means for periodically distributing the created diary to a communication terminal and allowing a user to view the diary; A system including:

2. 10. The system of claim 1, further comprising a scheduling means for periodically collecting data.

3. The system of claim 1 , wherein the server further comprises means for filtering data using privacy filtering and sentiment analysis.

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