system

Abstract

We provide the system. [Solution] A means that operates on a computing device to execute a process for monitoring user input in real time, A means for analyzing input text using natural language processing technology and detecting inappropriate expressions based on predefined criteria, Means for notifying users or restricting input when inappropriate content is detected, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In recent years, defamation and posting of inappropriate content on the Internet have become social problems, and their impact is particularly a concern among the younger generation. In conventional methods, it is common to detect and delete content after a user posts it, which is a post-facto response. As a result, there is a problem that it is difficult to prevent inappropriate content before the damage spreads. The purpose of this invention is to monitor the content of text input by a user in real time at the stage when the user inputs the text and prevent inappropriate expressions in advance.

Means for Solving the Problems

[0005] This invention relates to a software system that operates on a computing device and performs a process of monitoring user input in real time. This involves analyzing the input text using natural language processing techniques each time it is generated, and detecting inappropriate expressions based on predefined criteria. If inappropriate content is detected, the system provides means to notify the user or restrict input. Furthermore, it constructs a system to prevent inappropriate postings on the internet by re-analyzing user-modified text and confirming that the inappropriate content has been removed.

[0006] "User input" refers to text data and information provided by the user through the input device of a computing device.

[0007] "Real-time monitoring" refers to a process where data is monitored and processed immediately the moment it is entered.

[0008] "Computing device" refers to electronic devices such as computers and mobile terminals that perform calculations and processing of data.

[0009] "Natural language processing technology" refers to a field of computer science that enables computers to understand, interpret, and generate human language.

[0010] "Inappropriate language" refers to language that is considered offensive, defamatory, or offensive according to generally accepted social norms.

[0011] "Providing notification" refers to the act of warning or informing a user when inappropriate content is detected.

[0012] "Restricting input" refers to a function that stops or modifies a user's input actions based on detected inappropriate content.

[0013] "Reanalysis" refers to the process of performing an analysis again, specifically the act of re-examining data that has been modified by the user. [Brief explanation of the drawing]

[0014] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

MODE FOR CARRYING OUT THE INVENTION

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] As shown in Figure 1, the 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.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0028] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] This invention relates to a system that monitors text input in real time, detects inappropriate content, and prevents it from occurring. This system operates on a computing device and is designed to monitor user input. A specific embodiment of this system is described below.

[0036] This system functions as a keyboard application on the device. When a user enters text, the device immediately retrieves the content and begins analysis using a natural language processing engine. In this analysis, the entered sentences and words are evaluated based on a pre-configured list of inappropriate expressions and algorithms. As a result, if the device detects content deemed inappropriate, it issues a real-time warning to the user.

[0037] As a concrete example, consider a situation where a user is about to post on social media. For instance, if the user types a message containing offensive language, the device will determine the intent and display a warning such as, "This language is inappropriate. Please stop posting." The user can then receive this warning and either modify the language or change the content to something else.

[0038] Furthermore, the device re-analyzes the input based on the corrected content, and if the problem is resolved, it continues processing it as normal input. This prevents users from unintentionally posting inappropriate content. Because the system is multilingual, it can detect inappropriate expressions in multiple languages.

[0039] In this way, the present invention functions as a system that mitigates inappropriate behavior on the internet and contributes to healthy communication. The system's embodiments are flexible and adaptable to different platforms and devices.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The terminal captures the user's input in real time as they begin typing using the keyboard. The terminal sequentially saves the input events to a buffer in preparation for subsequent processing.

[0043] Step 2:

[0044] The device passes the acquired input text to a natural language processing engine. This engine tokenizes the input and uses a language model to analyze each word and phrase. The analysis uses rule-based or machine learning models to determine if the input contains inappropriate expressions.

[0045] Step 3:

[0046] Based on the analysis results, the server evaluates whether the input text matches a predefined list of inappropriate expressions or criteria. Based on the evaluation results, it flags the text to determine its degree of inappropriateness.

[0047] Step 4:

[0048] If the device is deemed inappropriate, it will immediately display a warning message to the user via a pop-up. This warning may include specific inappropriate phrases and suggested improvements.

[0049] Step 5:

[0050] The user reviews the warnings and corrects the input as needed. If the user corrects the content, the corrected input is returned to step 1, and the same analysis process is repeated.

[0051] Step 6:

[0052] Once the device determines that the corrected text is appropriate, it continues with normal input processing and sends the text to the application or service intended by the user. This prevents unintentional inappropriate postings and allows users to maintain healthy communication.

[0053] (Example 1)

[0054] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0055] On information dissemination platforms, the posting of inappropriate content can have significant consequences for individuals and society. While it is necessary to detect and prevent the unpublishing of inappropriate text in advance, real-time analysis and multilingual support are not easy. Furthermore, the ability to re-evaluate content after error correction is insufficient, making its implementation a challenge.

[0056] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0057] In this invention, the server includes data collection means for instantly acquiring and analyzing user input, means for evaluating the collected data using natural language processing technology and comparing it with pre-set criteria to detect inappropriate expressions, and means for notifying the user of a warning about content deemed inappropriate and prompting the user to review their input. This makes it possible to prevent users from posting inappropriate content.

[0058] "User input" refers to text data provided by users through digital devices.

[0059] "Data collection means" refers to the process or technology for instantly acquiring information entered by a user and analyzing it within the system.

[0060] "Natural language processing technology" is artificial intelligence technology that enables computers to understand, interpret, and generate human language.

[0061] "Inappropriate language" refers to language use that is deemed inappropriate according to social or ethical standards, and is judged based on specific criteria.

[0062] "Means of notifying a warning" refers to a process or technology that provides visual or auditory alerts to the user regarding detected inappropriate content.

[0063] A "means of prompting review of input" refers to a method of prompting the user to correct or change inappropriate content when it is detected.

[0064] "Methods for re-evaluation" refers to the process of re-analyzing content modified or changed by users and verifying whether that content is appropriate.

[0065] "Multilingual support" refers to the ability to function in diverse language environments by possessing the capability to analyze text using different languages.

[0066] For the implementation of this invention, the system primarily operates on a terminal. The terminal has a function to instantly capture the content of text entered by the user using a keyboard or voice input device. This function supports an interface for sequentially acquiring and analyzing user input by setting up hooks, for example, using APIs provided by the operating system.

[0067] The analysis process utilizes software libraries to implement natural language processing techniques. Specific technologies include, for example, open-source libraries and commercial natural language processing engines. This allows for the extraction of meaning and sentiment from the input text data and evaluation for the presence of inappropriate expressions. The evaluation is performed based on pre-defined linguistic and ethical criteria.

[0068] If inappropriate content is detected, the device will immediately issue a visual or audible warning to the user. The warning message will then pop up on the screen. For example, the system might display a message such as, "This expression is inappropriate. Please correct the content." This process allows the user to re-evaluate and revise the text before sending it.

[0069] The text corrected by the user is re-evaluated through the same natural language processing process. At this stage, if the problem is resolved, the terminal notifies the user that the corrected text has been accepted as valid input and can be sent or saved as is.

[0070] As a concrete example, prompt statements are as follows: Commands such as "Does this sentence contain inappropriate language?" or "Analyze the following text and detect inappropriate language" are provided to the generative AI model. This can improve the quality of real-time conversations.

[0071] In this way, the present invention functions as a system that improves the quality of online communication and prevents the transmission of inappropriate expressions through real-time analysis and warnings of user input. This system is equipped with multilingual capabilities and is applicable to users in multiple regions and languages.

[0072] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0073] Step 1:

[0074] The device captures the input in real time the moment the user starts typing. This is achieved by utilizing keyboard and voice input event handlers to store the input text data. The input is raw text data, and at this stage, it is taken into the system as an unevaluated string.

[0075] Step 2:

[0076] The device sends the captured text data to a natural language processing engine and begins analysis. The natural language processing engine uses a generative AI model that includes diverse language models to extract semantic information and sentiment analysis information from the text. Data processing includes tokenization, syntactic analysis, and sentiment scoring. The output is the structure of the analyzed text and an evaluation result indicating whether or not there are inappropriate expressions.

[0077] Step 3:

[0078] The terminal determines whether an inappropriate expression has been detected based on the analysis results of the natural language processing engine. In this determination process, it checks for any matching expressions by comparing them against a pre-configured list of criteria. The input is the analysis result data, and the output is a list of boolean values ​​indicating whether an inappropriate expression is included and the specific locations where it appears.

[0079] Step 4:

[0080] The device will display a warning message to the user if it detects inappropriate language. The warning message will present the inappropriate content and the reason why, and will provide a specific interface to prompt the user to correct it. An example of a prompt message in this message would be, "This language is offensive. Correction is recommended."

[0081] Step 5:

[0082] The user reviews the warnings from the device and manually corrects the indicated inappropriate parts. Once the user has completed the corrections, the device sends the new input back to the natural language processing engine for re-analysis to evaluate the corrections. The input is the corrected text data, and the output is the result of whether the validity of the corrections was confirmed.

[0083] Step 6:

[0084] Based on the re-analysis results, if the device confirms that the problem has been resolved, it notifies the user that the text is correct and proceeds with posting or saving. Upon receiving this notification, the user is ready to post with the correct content. This gives the user peace of mind that the final text is correct.

[0085] (Application Example 1)

[0086] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0087] In modern communication tools, inappropriate remarks and misleading expressions are a significant problem. Such inappropriate content is leading to online troubles and an increasing number of cases where healthy communication between users is hindered. This is particularly pronounced in multilingual environments, where misunderstandings and inappropriate expressions between different languages ​​become more pronounced. The objective of this invention is to solve this problem and improve the quality of online communication.

[0088] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0089] In this invention, the server includes means for executing a process for monitoring user input in real time, means for analyzing input information using natural language processing technology and detecting inappropriate expressions based on predefined criteria, and means for issuing a warning notification or prompting the user to correct the input when inappropriate content is detected. This enables the user to detect and correct inappropriate content in real time.

[0090] "User input" refers to all data, such as characters, symbols, words, and phrases, that a user enters through an information processing device or terminal.

[0091] "Real-time monitoring" means instantly grasping the input data and immediately analyzing it, thereby processing the information without delay.

[0092] An "information processing device" is an electronic device that has the function of receiving, analyzing, processing, and outputting digital data.

[0093] "Natural language processing technology" is a technology that uses computers to analyze text data, which is human language, in order to understand its meaning and intent.

[0094] "Input information" refers to any text or data that a user provides to the system.

[0095] "Predefined criteria" refer to a set of rules or conditions that have been set in advance to detect inappropriate content.

[0096] "Inappropriate language" refers to words or sentences that may cause offense or misunderstanding in a communication setting.

[0097] "Detection methods" refer to methods or algorithms for identifying and distinguishing inappropriate expressions.

[0098] A "warning notification" is a message or alert that alerts the user when problematic input is detected.

[0099] "Encouraging users to correct their input" means recommending that users correct inappropriate input and change it to a more appropriate expression.

[0100] "Reanalysis" is the process of re-analyzing the corrected data to verify that the content is appropriate.

[0101] This invention provides a system for computing devices and information processing terminals that monitors user-inputted text data in real time, uses natural language processing technology to detect inappropriate expressions, and prompts the user to correct the content as needed.

[0102] The server first receives user input immediately and makes it ready for real-time processing. The input data is analyzed using an API capable of natural language processing, such as Google Cloud Natural Language API. During this analysis process, the server determines whether the data contains inappropriate expressions according to predefined criteria and rules.

[0103] If inappropriate content is detected, the terminal displays a warning notification to the user. This notification may appear as a message such as, "This expression is inappropriate. Please correct it." The user then corrects the input, and the corrected content is parsed again. Through re-parsing, the server verifies whether the inappropriate content has been removed, and if there are no problems, it accepts the text as the final input.

[0104] For example, if a user attempts to send a message to a friend and uses unnecessarily offensive language, the system will immediately detect the language and issue a warning prompting them to correct it. As a result, the user can review their language and send their intended message in an appropriate format.

[0105] (Example of prompts for a generative AI model)

[0106] "The phrase 'Example Phrase' was detected as inappropriate. How can I correct it?"

[0107] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0108] Step 1:

[0109] The server receives text input from users in real time. This input data is passed to the system's analysis engine. At the time of input, the data is in string format, which is the subject of subsequent analysis.

[0110] Step 2:

[0111] The device analyzes the input data using natural language processing (NLP) technology. This process utilizes external APIs such as the Google Cloud Natural Language API to analyze the text. The input is string data, and the output is structured data containing the analysis results. This data includes the meaning of each word and phrase in the text, as well as sentiment analysis results.

[0112] Step 3:

[0113] The server determines whether the text contains inappropriate expressions based on the analysis results. A predefined set of rules is used for this determination. The input here is the analysis data, and the output is a logical value indicating the presence or absence of inappropriate content.

[0114] Step 4:

[0115] If inappropriate content is detected, the terminal generates and notifies the user with a warning message. The input here is the detection result and detailed information about the inappropriate content. The output is an update to the user interface containing the warning message.

[0116] Step 5:

[0117] The user receives a warning and corrects the text as needed. This corrected text is sent back to the server for re-parsing. Here, the corrected string data is treated as new input and re-parsed.

[0118] Step 6:

[0119] The server re-analyzes the corrected data, confirms the removal of inappropriate content, and then performs final approval. The input is the corrected analyzed data, and the output is the approval status of transmission permission within the system. Based on the result of this process, the user is notified that the correction was successful.

[0120] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0121] This invention relates to a system that includes an emotion engine that not only monitors user text input in real time and detects inappropriate expressions, but also recognizes the user's emotional state from the input content. This system operates on a computing device and is designed to monitor user input behavior.

[0122] The emotion engine analyzes the emotions contained in the text entered by the user, identifying the type and intensity of those emotions. Based on the analyzed emotion information, the device determines whether the entered content is based on the user's emotional state and takes appropriate action. In this process, the emotion data is used to evaluate inappropriateness and provides the user with feedback that takes the emotional context into account.

[0123] As a concrete example, suppose a user writes a sentence expressing strong negative emotions, such as using the phrase "I wish I could just quit." In this case, the device uses an emotion engine to analyze the emotions contained in the sentence (e.g., anger, frustration). The server compares this emotion data with the input text and, if it determines that the user is in an emotionally extreme state, displays an appropriate warning message. The warning message may include something like, "This expression is offensive. Let's calm down and think about it a little more."

[0124] This system aims to help users communicate calmly and prevent inappropriate content from occurring. Furthermore, by providing personalized feedback based on emotions, users can become aware of their own emotions and gain assistance in controlling them appropriately. As a result, this system is expected to improve the quality of online communication.

[0125] The following describes the processing flow.

[0126] Step 1:

[0127] The device prepares to capture the user's input in real time as soon as they begin typing. The input data is temporarily stored in memory and prepared for analysis.

[0128] Step 2:

[0129] The terminal sends the input data to a natural language processing engine for grammatical and semantic analysis. At this stage, initial filtering is applied to determine if inappropriate phrases or words are included.

[0130] Step 3:

[0131] The device activates its emotion engine and analyzes the degree and type of emotion contained in the input text. Based on the context derived from the input, it identifies the emotional state the user intends to express (e.g., anger, sadness, joy).

[0132] Step 4:

[0133] The server aggregates the analysis results and compares them with the results of sentiment analysis to determine whether or not inappropriate language is present. If emotionally charged language is found, the server determines the priority of warnings based on its content.

[0134] Step 5:

[0135] The device displays personalized feedback to the user based on their emotions and inappropriateness. This feedback includes analysis results labeled with emotions and appropriate action suggestions based on those results (e.g., calls to calm down or revisions to the language used).

[0136] Step 6:

[0137] The user reviews the feedback and corrects the input as needed. The corrected text is then returned to step 1 and re-evaluated through the same process.

[0138] Step 7:

[0139] If the terminal determines that the corrected input is appropriate, the server performs a final check and then sends the input text to the intended application or service. This entire process allows users to understand their own emotions and communicate more effectively.

[0140] (Example 2)

[0141] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0142] In online and digital communication, users often express inappropriate content due to heightened emotions or impulsive remarks. Such expressions can lead to misunderstandings and problems, degrading the quality of communication. Furthermore, because users themselves are unable to properly recognize and control their own emotional states, it is difficult to prevent problems from arising in the first place.

[0143] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0144] In this invention, the server includes means for analyzing input data using a generative AI model to grasp emotions, means for providing feedback based on the analysis results to determine the user's emotional state, and means for issuing a warning or restricting input if inappropriate content is detected. This makes it possible to prevent users from making inappropriate expressions based on emotions and to promote calm and appropriate communication.

[0145] A "user" is an individual or group that uses a system to input text data.

[0146] "Real-time monitoring" means instantly monitoring user input and processing data without delay.

[0147] An "information processing device" refers to a hardware or software configuration that has computing power and can execute a specific program.

[0148] "Natural language processing technology" refers to technologies for understanding and analyzing human language, possessing the ability to analyze text and determine its meaning and emotions.

[0149] A "generative AI model" is an algorithm built on machine learning techniques that has the ability to analyze data and perform specific tasks.

[0150] "Inappropriate language" refers to language that contains offensive or unpleasant content that is socially or ethically unacceptable.

[0151] "Emotional information" refers to information about the types and intensity of human emotions analyzed based on input data.

[0152] "Feedback" refers to responses that provide users with information and suggestions to guide their actions.

[0153] This invention is a system that analyzes text data entered by a user in real time, evaluates their emotional state based on that analysis, and provides appropriate feedback. Specific embodiments of this system are shown below.

[0154] The user inputs text data through a terminal. The terminal immediately sends the text entered by the user to the server. This system operates on a computer system called an information processing system, and it is recommended to use communication protocols such as SSL / TLS to handle data securely.

[0155] The server uses a generative AI model to analyze the received text data using natural language processing techniques. This generative AI model has the ability to recognize emotions within the text and identify their type and intensity. For example, if the input data contains a phrase like "I failed again. Maybe it's hopeless," the server will identify emotional information such as "sadness" or "anxiety."

[0156] Based on the analysis results, the server determines whether the content contains inappropriate language. If inappropriate language is detected and the user's emotional state is deemed extreme, the server immediately generates feedback.

[0157] The device communicates the generated feedback to the user. This includes warning messages and suggestions. For example, a message such as, "This expression is offensive. Please calm down and consider alternative phrasing," may be displayed.

[0158] As an example of a prompt, the AI ​​model can be instructed to "recognize the sentiment behind the text entered by the user and warn if it contains inappropriate language." This instruction aims to help the system manage user input more effectively and promote healthy communication.

[0159] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0160] Step 1:

[0161] The user uses a device to input text data. This input could include chat messages or email body text. The device receives the user's text input in real time and formats it as input data. The formatted text data is then generated as output.

[0162] Step 2:

[0163] The terminal sends the formatted text data to the server. Here, encryption technology is used to ensure data security during transmission. The input is the formatted text data from step 1, and the output is the data that reaches the server via secure communication.

[0164] Step 3:

[0165] The server analyzes the received text data using natural language processing techniques. Specifically, a generative AI model is used to analyze words and phrases in the text to identify the type of emotion (e.g., joy, anger) and its intensity. The input is the transmitted text data. The output is analysis result data that includes emotional information.

[0166] Step 4:

[0167] The server evaluates whether the text contains inappropriate expressions based on the analysis results data. Specifically, it makes a judgment by comparing it against pre-set criteria. The input is the analysis results data from step 3. The output is the evaluation result of the inappropriateness.

[0168] Step 5:

[0169] If inappropriate language or excessive emotion is detected, the server generates feedback to provide to the user. This involves creating appropriate warning messages and suggestions. The input is the evaluation results from step 4. The output is the generated feedback message.

[0170] Step 6:

[0171] The terminal displays feedback messages sent from the server to the user. This allows the user to see the system's response to their input in real time. The input is feedback messages from the server, and the output is the feedback displayed on the user's screen.

[0172] (Application Example 2)

[0173] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0174] In online interactions such as electronic payments, it is essential to provide appropriate feedback that takes user emotions into consideration. However, current systems cannot adequately analyze the user's emotional state, making it difficult to respond not only to inappropriate expressions but also to responses that take into account the emotional context. This poses a risk of damaging the user experience. The present invention aims to improve the user experience by analyzing user emotions in real time and automatically providing appropriate feedback.

[0175] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0176] In this invention, the server includes means for performing processing to monitor user input in real time, means for analyzing input text using natural language processing technology and detecting inappropriate expressions based on pre-set criteria, means for determining the emotion of the input content using an emotion engine that analyzes the user's emotional state, and means for providing appropriate feedback and guiding user input when inappropriate content or a negative emotional state is detected. This makes it possible to provide appropriate feedback that takes the user's emotions into consideration.

[0177] A "computing device" is a mechanical device designed to perform data processing, and includes computers and servers.

[0178] "Natural language processing technology" is a technology that enables computing devices to understand and process the language that humans use on a daily basis.

[0179] "Input text" refers to character information provided by the user, which is then analyzed by the system.

[0180] A "criteria" is a set of rules or standards used to determine the inappropriateness of text.

[0181] "Inappropriate language" refers to words or phrases that are undesirable or unacceptable in communication.

[0182] An "emotion engine" is a collection of computational algorithms and technologies built to analyze and determine a user's emotional state.

[0183] "Identifying emotions" refers to the act of identifying the type and intensity of emotions contained in user input.

[0184] A "negative emotional state" refers to a state in which the user's emotions are negative, and typically includes feelings of displeasure, anger, and dissatisfaction.

[0185] "Feedback" refers to the responses and advice that a system provides to a user.

[0186] "Guiding user input" refers to the act of providing appropriate guidance to the user's text input, thereby facilitating smooth communication.

[0187] The system for realizing this invention is built primarily around a computing device and an emotion engine. The system implements a program that monitors user input in real time and analyzes the user's input text using natural language processing technology. In the analysis, criteria for detecting inappropriate expressions from the input text are pre-set. If an inappropriate expression is detected, the system notifies the user with a warning or a suggestion for correction.

[0188] Furthermore, the emotion engine analyzes and identifies the emotions of the input in real time, and provides emotionally sensitive feedback, especially when negative emotional states are detected. This feedback encourages users to respond calmly and aims to improve the user experience.

[0189] This system is usable on various computers, smartphones, and tablets, and is implemented using programming languages ​​such as Python. Data processing and calculations are primarily performed through NLP (Natural Language Processing) libraries and APIs. Specifically, it analyzes the sentiment behind text input and constructs user feedback based on the results.

[0190] For example, if a user inputs a complaint such as "the service is slow," the emotion engine recognizes this as a negative emotion. The system then generates a response such as "We apologize for the inconvenience. We will look into it immediately" and sends it to the user. The entire process is supported by a generative AI model, and an example of a prompt in this case would be "Please recognize the user's emotional state based on the text input and generate appropriate feedback."

[0191] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0192] Step 1:

[0193] The server receives text input from the user. The input is monitored in real time, and the user's input data is collected. The input data is sent to the terminal in text format.

[0194] Step 2:

[0195] The terminal analyzes the received input text using natural language processing (NLP) techniques. Specifically, it tokenizes the input data using a language analysis library and analyzes its syntax and grammar. The output of this process is a list of keywords contained in the input text.

[0196] Step 3:

[0197] The server detects inappropriate expressions based on the analyzed keyword list. It compares the input against pre-set criteria, and if the input does not meet the criteria, it is deemed inappropriate. The output generates a judgment of inappropriateness, and if it is deemed inappropriate, a flag is set.

[0198] Step 4:

[0199] The device uses an emotion engine to analyze the emotions contained in the user's input text. In this process, an emotion analysis algorithm is used to identify the type and intensity of the emotion. The input is the user's text data, and the output is a result indicating the emotional state.

[0200] Step 5:

[0201] The server comprehensively evaluates both the detected inappropriateness and emotional state to generate appropriate feedback. A generative AI model is used to construct a message that considers the feedback to be output based on the prompt text. After data calculations based on the input, a user-facing feedback message is obtained as output.

[0202] Step 6:

[0203] Users receive and review feedback messages provided through their devices. This gives users an opportunity to re-evaluate their actions. The device displays the feedback messages on its screen to guide the user's behavior.

[0204] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0205] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0206] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0207] [Second Embodiment]

[0208] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0209] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0210] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0211] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0212] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0213] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0214] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0215] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0216] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0217] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0218] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0219] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0220] This invention relates to a system that monitors text input in real time, detects inappropriate content, and prevents it from occurring. This system operates on a computing device and is designed to monitor user input. A specific embodiment of this system is described below.

[0221] This system functions as a keyboard application on the device. When a user enters text, the device immediately retrieves the content and begins analysis using a natural language processing engine. In this analysis, the entered sentences and words are evaluated based on a pre-configured list of inappropriate expressions and algorithms. As a result, if the device detects content deemed inappropriate, it issues a real-time warning to the user.

[0222] As a concrete example, consider a situation where a user is about to post on social media. For instance, if the user types a message containing offensive language, the device will determine the intent and display a warning such as, "This language is inappropriate. Please stop posting." The user can then receive this warning and either modify the language or change the content to something else.

[0223] Furthermore, the device re-analyzes the input based on the corrected content, and if the problem is resolved, it continues processing it as normal input. This prevents users from unintentionally posting inappropriate content. Because the system is multilingual, it can detect inappropriate expressions in multiple languages.

[0224] In this way, the present invention functions as a system that mitigates inappropriate behavior on the internet and contributes to healthy communication. The system's embodiments are flexible and adaptable to different platforms and devices.

[0225] The following describes the processing flow.

[0226] Step 1:

[0227] The terminal captures the user's input in real time as they begin typing using the keyboard. The terminal sequentially saves the input events to a buffer in preparation for subsequent processing.

[0228] Step 2:

[0229] The device passes the acquired input text to a natural language processing engine. This engine tokenizes the input and uses a language model to analyze each word and phrase. The analysis uses rule-based or machine learning models to determine if the input contains inappropriate expressions.

[0230] Step 3:

[0231] Based on the analysis results, the server evaluates whether the input text matches a predefined list of inappropriate expressions or criteria. Based on the evaluation results, it flags the text to determine its degree of inappropriateness.

[0232] Step 4:

[0233] If the device is deemed inappropriate, it will immediately display a warning message to the user via a pop-up. This warning may include specific inappropriate phrases and suggested improvements.

[0234] Step 5:

[0235] The user reviews the warnings and corrects the input as needed. If the user corrects the content, the corrected input is returned to step 1, and the same analysis process is repeated.

[0236] Step 6:

[0237] Once the device determines that the corrected text is appropriate, it continues with normal input processing and sends the text to the application or service intended by the user. This prevents unintentional inappropriate postings and allows users to maintain healthy communication.

[0238] (Example 1)

[0239] Next, we will describe Example 1. 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."

[0240] On information dissemination platforms, the posting of inappropriate content can have significant consequences for individuals and society. While it is necessary to detect and prevent the unpublishing of inappropriate text in advance, real-time analysis and multilingual support are not easy. Furthermore, the ability to re-evaluate content after error correction is insufficient, making its implementation a challenge.

[0241] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0242] In this invention, the server includes data collection means for instantly acquiring and analyzing user input, means for evaluating the collected data using natural language processing technology and comparing it with pre-set criteria to detect inappropriate expressions, and means for notifying the user of a warning about content deemed inappropriate and prompting the user to review their input. This makes it possible to prevent users from posting inappropriate content.

[0243] "User input" refers to text data provided by users through digital devices.

[0244] "Data collection means" refers to the process or technology for instantly acquiring information entered by a user and analyzing it within the system.

[0245] "Natural language processing technology" is artificial intelligence technology that enables computers to understand, interpret, and generate human language.

[0246] "Inappropriate language" refers to language use that is deemed inappropriate according to social or ethical standards, and is judged based on specific criteria.

[0247] "Means of notifying a warning" refers to a process or technology that provides visual or auditory alerts to the user regarding detected inappropriate content.

[0248] A "means of prompting review of input" refers to a method of prompting the user to correct or change inappropriate content when it is detected.

[0249] "Methods for re-evaluation" refers to the process of re-analyzing content modified or changed by users and verifying whether that content is appropriate.

[0250] "Multilingual support" refers to the ability to function in diverse language environments by possessing the capability to analyze text using different languages.

[0251] For the implementation of this invention, the system primarily operates on a terminal. The terminal has a function to instantly capture the content of text entered by the user using a keyboard or voice input device. This function supports an interface for sequentially acquiring and analyzing user input by setting up hooks, for example, using APIs provided by the operating system.

[0252] The analysis process utilizes software libraries to implement natural language processing techniques. Specific technologies include, for example, open-source libraries and commercial natural language processing engines. This allows for the extraction of meaning and sentiment from the input text data and evaluation for the presence of inappropriate expressions. The evaluation is performed based on pre-defined linguistic and ethical criteria.

[0253] If inappropriate content is detected, the device will immediately issue a visual or audible warning to the user. The warning message will then pop up on the screen. For example, the system might display a message such as, "This expression is inappropriate. Please correct the content." This process allows the user to re-evaluate and revise the text before sending it.

[0254] The text corrected by the user is re-evaluated through the same natural language processing process. At this stage, if the problem is resolved, the terminal notifies the user that the corrected text has been accepted as valid input and can be sent or saved as is.

[0255] As a concrete example, prompt statements are as follows: Commands such as "Does this sentence contain inappropriate language?" or "Analyze the following text and detect inappropriate language" are provided to the generative AI model. This can improve the quality of real-time conversations.

[0256] In this way, the present invention functions as a system that improves the quality of online communication and prevents the transmission of inappropriate expressions through real-time analysis and warnings of user input. This system is equipped with multilingual capabilities and is applicable to users in multiple regions and languages.

[0257] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0258] Step 1:

[0259] The device captures the input in real time the moment the user starts typing. This is achieved by utilizing keyboard and voice input event handlers to store the input text data. The input is raw text data, and at this stage, it is taken into the system as an unevaluated string.

[0260] Step 2:

[0261] The device sends the captured text data to a natural language processing engine and begins analysis. The natural language processing engine uses a generative AI model that includes diverse language models to extract semantic information and sentiment analysis information from the text. Data processing includes tokenization, syntactic analysis, and sentiment scoring. The output is the structure of the analyzed text and an evaluation result indicating whether or not there are inappropriate expressions.

[0262] Step 3:

[0263] The terminal determines whether an inappropriate expression has been detected based on the analysis results of the natural language processing engine. In this determination process, it checks for any matching expressions by comparing them against a pre-configured list of criteria. The input is the analysis result data, and the output is a list of boolean values ​​indicating whether an inappropriate expression is included and the specific locations where it appears.

[0264] Step 4:

[0265] The device will display a warning message to the user if it detects inappropriate language. The warning message will present the inappropriate content and the reason why, and will provide a specific interface to prompt the user to correct it. An example of a prompt message in this message would be, "This language is offensive. Correction is recommended."

[0266] Step 5:

[0267] The user reviews the warnings from the device and manually corrects the indicated inappropriate parts. Once the user has completed the corrections, the device sends the new input back to the natural language processing engine for re-analysis to evaluate the corrections. The input is the corrected text data, and the output is the result of whether the validity of the corrections was confirmed.

[0268] Step 6:

[0269] Based on the re-analysis results, if the device confirms that the problem has been resolved, it notifies the user that the text is correct and proceeds with posting or saving. Upon receiving this notification, the user is ready to post with the correct content. This gives the user peace of mind that the final text is correct.

[0270] (Application Example 1)

[0271] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0272] In modern communication tools, inappropriate remarks and misleading expressions are a significant problem. Such inappropriate content is leading to online troubles and an increasing number of cases where healthy communication between users is hindered. This is particularly pronounced in multilingual environments, where misunderstandings and inappropriate expressions between different languages ​​become more pronounced. The objective of this invention is to solve this problem and improve the quality of online communication.

[0273] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0274] In this invention, the server includes means for executing a process for monitoring user input in real time, means for analyzing input information using natural language processing technology and detecting inappropriate expressions based on predefined criteria, and means for issuing a warning notification or prompting the user to correct the input when inappropriate content is detected. This enables the user to detect and correct inappropriate content in real time.

[0275] "User input" refers to all data, such as characters, symbols, words, and phrases, that a user enters through an information processing device or terminal.

[0276] "Monitoring in real time" means instantaneously grasping the input data and immediately analyzing it to perform information processing without delay.

[0277] An "information processing device" is an electronic device that has the functions of receiving, analyzing, processing, and outputting digital data.

[0278] "Natural language analysis technology" is a technology for analyzing text data, which is human language, by a computer to grasp its meaning and intention.

[0279] "Input information" is any text or data provided by the user to the system.

[0280] "Pre-defined criteria" is a set of rules and conditions set in advance to detect inappropriate content.

[0281] "Inappropriate expression" is a word or sentence that may cause discomfort or misunderstanding in a communication situation.

[0282] "Detection means" is a method or algorithm for identifying and discriminating inappropriate expressions.

[0283] "Warning notification" is a message or alert to prompt the user when a problematic input is detected.

[0284] "Prompting the user to correct the input" means recommending to the user to correct the inappropriate input content and change it to a more appropriate expression.

[0285] "Re-analysis" is a process of re-analyzing the modified data to confirm whether the content is appropriate.

[0286] This invention provides a system in a computing device or an information processing terminal that monitors text data input by a user in real time, detects inappropriate expressions by utilizing natural language analysis technology, and prompts content correction as necessary.

[0287] The server first immediately receives the user input and makes it in a state where it can be processed in real time. The input data is analyzed using an API capable of natural language analysis, such as the Google Cloud Natural Language API. In this analysis process, it is determined whether inappropriate expressions are included according to predefined criteria and rules.

[0288] When inappropriate content is detected, the terminal displays a warning notification to the user. This notification is displayed as a message such as "This expression is inappropriate. Please correct it." The user modifies the input accordingly, and the modified content is analyzed again. The server confirms through re-analysis whether the inappropriate content has been removed, and if there is no problem, it accepts the text as the final input.

[0289] As a specific example, when a user tries to send a message to a friend and uses an unnecessarily aggressive expression, the system immediately detects the expression and notifies a warning prompting correction. As a result, the user can review the expression used and send the intended content in an appropriate format.

[0290] (Example of a prompt sentence for a generative AI model)

[0291] "'Example Phrase' has been detected as an inappropriate utterance. How should it be corrected?"

[0292] The flow of specific processing in Application Example will be described using FIG. 12.

[0293] Step 1:

[0294] The server receives text input from users in real time. This input data is passed to the system's analysis engine. At the time of input, the data is in string format, which is the subject of subsequent analysis.

[0295] Step 2:

[0296] The device analyzes the input data using natural language processing (NLP) technology. This process utilizes external APIs such as the Google Cloud Natural Language API to analyze the text. The input is string data, and the output is structured data containing the analysis results. This data includes the meaning of each word and phrase in the text, as well as sentiment analysis results.

[0297] Step 3:

[0298] The server determines whether the text contains inappropriate expressions based on the analysis results. A predefined set of rules is used for this determination. The input here is the analysis data, and the output is a logical value indicating the presence or absence of inappropriate content.

[0299] Step 4:

[0300] If inappropriate content is detected, the terminal generates and notifies the user with a warning message. The input here is the detection result and detailed information about the inappropriate content. The output is an update to the user interface containing the warning message.

[0301] Step 5:

[0302] The user receives a warning and corrects the text as needed. This corrected text is sent back to the server for re-parsing. Here, the corrected string data is treated as new input and re-parsed.

[0303] Step 6:

[0304] The server re-analyzes the modified data, checks for the removal of inappropriate content, and then gives final approval. The input is the modified analysis data, and the output is the approval status of permission to transmit within the system. As a result of this processing, the user is notified that the modification was successful.

[0305] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion identification model 59 and perform specific processing using the user's emotions.

[0306] The present invention is a system that includes an emotion engine that not only monitors the user's text input in real time and detects inappropriate expressions, but also recognizes the user's emotional state from the input content. This system operates on a computing device and is designed to monitor the user's input behavior.

[0307] The emotion engine analyzes the emotions contained in the text input by the user and plays a role in identifying the type and intensity of the emotions. Based on the analyzed emotion information, the terminal determines whether the input content is based on the user's emotional state and takes corresponding actions. At that time, the emotion data is used for the evaluation of inappropriateness, and feedback considering the emotional context is provided to the user.

[0308] As a specific example, suppose the user writes a text with strong negative emotions, for example, using words such as "If it's like this, I might as well just give up." At this time, the terminal uses the emotion engine to analyze the emotions (e.g., anger, dissatisfaction) contained in the text. The server compares this emotion data with the input text, and if it determines that the user is in an overly emotional state, it displays an appropriate warning message. The warning message may include content such as "This expression is aggressive. Let's think more calmly."

[0309] This system aims to help users communicate calmly and prevent inappropriate content from occurring. Furthermore, by providing personalized feedback based on emotions, users can become aware of their own emotions and gain assistance in controlling them appropriately. As a result, this system is expected to improve the quality of online communication.

[0310] The following describes the processing flow.

[0311] Step 1:

[0312] The device prepares to capture the user's input in real time as soon as they begin typing. The input data is temporarily stored in memory and prepared for analysis.

[0313] Step 2:

[0314] The terminal sends the input data to a natural language processing engine for grammatical and semantic analysis. At this stage, initial filtering is applied to determine if inappropriate phrases or words are included.

[0315] Step 3:

[0316] The device activates its emotion engine and analyzes the degree and type of emotion contained in the input text. Based on the context derived from the input, it identifies the emotional state the user intends to express (e.g., anger, sadness, joy).

[0317] Step 4:

[0318] The server aggregates the analysis results and compares them with the results of sentiment analysis to determine whether or not inappropriate language is present. If emotionally charged language is found, the server determines the priority of warnings based on its content.

[0319] Step 5:

[0320] The device displays personalized feedback to the user based on their emotions and inappropriateness. This feedback includes analysis results labeled with emotions and appropriate action suggestions based on those results (e.g., calls to calm down or revisions to the language used).

[0321] Step 6:

[0322] The user reviews the feedback and corrects the input as needed. The corrected text is then returned to step 1 and re-evaluated through the same process.

[0323] Step 7:

[0324] If the terminal determines that the corrected input is appropriate, the server performs a final check and then sends the input text to the intended application or service. This entire process allows users to understand their own emotions and communicate more effectively.

[0325] (Example 2)

[0326] Next, we will describe Example 2. 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".

[0327] In online and digital communication, users often express inappropriate content due to heightened emotions or impulsive remarks. Such expressions can lead to misunderstandings and problems, degrading the quality of communication. Furthermore, because users themselves are unable to properly recognize and control their own emotional states, it is difficult to prevent problems from arising in the first place.

[0328] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0329] In this invention, the server includes means for analyzing input data using a generative AI model to grasp emotions, means for providing feedback based on the analysis results to determine the user's emotional state, and means for issuing a warning or restricting input if inappropriate content is detected. This makes it possible to prevent users from making inappropriate expressions based on emotions and to promote calm and appropriate communication.

[0330] A "user" is an individual or group that uses a system to input text data.

[0331] "Real-time monitoring" means instantly monitoring user input and processing data without delay.

[0332] An "information processing device" refers to a hardware or software configuration that has computing power and can execute a specific program.

[0333] "Natural language processing technology" refers to technologies for understanding and analyzing human language, possessing the ability to analyze text and determine its meaning and emotions.

[0334] A "generative AI model" is an algorithm built on machine learning techniques that has the ability to analyze data and perform specific tasks.

[0335] "Inappropriate language" refers to language that contains offensive or unpleasant content that is socially or ethically unacceptable.

[0336] "Emotional information" refers to information about the types and intensity of human emotions analyzed based on input data.

[0337] "Feedback" refers to responses that provide users with information and suggestions to guide their actions.

[0338] This invention is a system that analyzes text data entered by a user in real time, evaluates their emotional state based on that analysis, and provides appropriate feedback. Specific embodiments of this system are shown below.

[0339] The user inputs text data through a terminal. The terminal immediately sends the text entered by the user to the server. This system operates on a computer system called an information processing system, and it is recommended to use communication protocols such as SSL / TLS to handle data securely.

[0340] The server uses a generative AI model to analyze the received text data using natural language processing techniques. This generative AI model has the ability to recognize emotions within the text and identify their type and intensity. For example, if the input data contains a phrase like "I failed again. Maybe it's hopeless," the server will identify emotional information such as "sadness" or "anxiety."

[0341] Based on the analysis results, the server determines whether the content contains inappropriate language. If inappropriate language is detected and the user's emotional state is deemed extreme, the server immediately generates feedback.

[0342] The device communicates the generated feedback to the user. This includes warning messages and suggestions. For example, a message such as, "This expression is offensive. Please calm down and consider alternative phrasing," may be displayed.

[0343] As an example of a prompt, the AI ​​model can be instructed to "recognize the sentiment behind the text entered by the user and warn if it contains inappropriate language." This instruction aims to help the system manage user input more effectively and promote healthy communication.

[0344] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0345] Step 1:

[0346] The user uses a device to input text data. This input could include chat messages or email body text. The device receives the user's text input in real time and formats it as input data. The formatted text data is then generated as output.

[0347] Step 2:

[0348] The terminal sends the formatted text data to the server. Encryption technology is used during data transmission to ensure data security. The input is the formatted text data from step 1, and the output is the data that reaches the server via secure communication.

[0349] Step 3:

[0350] The server analyzes the received text data using natural language processing techniques. Specifically, a generative AI model is used to analyze words and phrases in the text to identify the type of emotion (e.g., joy, anger) and its intensity. The input is the transmitted text data. The output is analysis result data that includes emotional information.

[0351] Step 4:

[0352] The server evaluates whether the text contains inappropriate expressions based on the analysis results data. Specifically, it makes a judgment by comparing it against pre-set criteria. The input is the analysis results data from step 3. The output is the evaluation result of the inappropriateness.

[0353] Step 5:

[0354] If inappropriate language or excessive emotion is detected, the server generates feedback to provide to the user. This involves creating appropriate warning messages and suggestions. The input is the evaluation results from step 4. The output is the generated feedback message.

[0355] Step 6:

[0356] The terminal displays feedback messages sent from the server to the user. This allows the user to see the system's response to their input in real time. The input is feedback messages from the server, and the output is the feedback displayed on the user's screen.

[0357] (Application Example 2)

[0358] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0359] In online interactions such as electronic payments, it is essential to provide appropriate feedback that takes user emotions into consideration. However, current systems cannot adequately analyze the user's emotional state, making it difficult to respond not only to inappropriate expressions but also to responses that take into account the emotional context. This poses a risk of damaging the user experience. The present invention aims to improve the user experience by analyzing user emotions in real time and automatically providing appropriate feedback.

[0360] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0361] In this invention, the server includes means for performing processing to monitor user input in real time, means for analyzing input text using natural language processing technology and detecting inappropriate expressions based on pre-set criteria, means for determining the emotion of the input content using an emotion engine that analyzes the user's emotional state, and means for providing appropriate feedback and guiding user input when inappropriate content or a negative emotional state is detected. This makes it possible to provide appropriate feedback that takes the user's emotions into consideration.

[0362] A "computing device" is a mechanical device designed to perform data processing, and includes computers and servers.

[0363] "Natural language processing technology" is a technology that enables computing devices to understand and process the language that humans use on a daily basis.

[0364] "Input text" refers to character information provided by the user, which is then analyzed by the system.

[0365] A "criteria" is a set of rules or standards used to determine the inappropriateness of text.

[0366] "Inappropriate language" refers to words or phrases that are undesirable or unacceptable in communication.

[0367] An "emotion engine" is a collection of computational algorithms and technologies built to analyze and determine a user's emotional state.

[0368] "Identifying emotions" refers to the act of identifying the type and intensity of emotions contained in user input.

[0369] A "negative emotional state" refers to a state in which the user's emotions are negative, and typically includes feelings of displeasure, anger, and dissatisfaction.

[0370] "Feedback" refers to the responses and advice that a system provides to a user.

[0371] "Guiding user input" refers to the act of providing appropriate guidance to the user's text input, thereby facilitating smooth communication.

[0372] The system for realizing this invention is built primarily around a computing device and an emotion engine. The system implements a program that monitors user input in real time and analyzes the user's input text using natural language processing technology. In the analysis, criteria for detecting inappropriate expressions from the input text are pre-set. If an inappropriate expression is detected, the system notifies the user with a warning or a suggestion for correction.

[0373] Furthermore, the emotion engine analyzes and identifies the emotions of the input in real time, and provides emotionally sensitive feedback, especially when negative emotional states are detected. This feedback encourages users to respond calmly and aims to improve the user experience.

[0374] This system is usable on various computers, smartphones, and tablets, and is implemented using programming languages ​​such as Python. Data processing and calculations are primarily performed through NLP (Natural Language Processing) libraries and APIs. Specifically, it analyzes the sentiment behind text input and constructs user feedback based on the results.

[0375] For example, if a user inputs a complaint such as "the service is slow," the emotion engine recognizes this as a negative emotion. The system then generates a response such as "We apologize for the inconvenience. We will look into it immediately" and sends it to the user. The entire process is supported by a generative AI model, and an example of a prompt in this case would be "Please recognize the user's emotional state based on the text input and generate appropriate feedback."

[0376] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0377] Step 1:

[0378] The server receives text input from the user. The input is monitored in real time, and the user's input data is collected. The input data is sent to the terminal in text format.

[0379] Step 2:

[0380] The terminal analyzes the received input text using natural language processing (NLP) techniques. Specifically, it tokenizes the input data using a language analysis library and analyzes its syntax and grammar. The output of this process is a list of keywords contained in the input text.

[0381] Step 3:

[0382] The server detects inappropriate expressions based on the analyzed keyword list. It compares the input against pre-set criteria, and if the input does not meet the criteria, it is deemed inappropriate. The output generates a judgment of inappropriateness, and if it is deemed inappropriate, a flag is set.

[0383] Step 4:

[0384] The device uses an emotion engine to analyze the emotions contained in the user's input text. In this process, an emotion analysis algorithm is used to identify the type and intensity of the emotion. The input is the user's text data, and the output is a result indicating the emotional state.

[0385] Step 5:

[0386] The server comprehensively evaluates both the detected inappropriateness and emotional state to generate appropriate feedback. A generative AI model is used to construct a message that considers the feedback to be output based on the prompt text. After data calculations based on the input, a user-facing feedback message is obtained as output.

[0387] Step 6:

[0388] Users receive and review feedback messages provided through their devices. This gives users an opportunity to re-evaluate their actions. The device displays the feedback messages on its screen to guide the user's behavior.

[0389] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0390] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0391] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0392] [Third Embodiment]

[0393] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0394] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0395] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0396] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0397] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0398] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0399] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0400] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0401] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0402] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0403] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0404] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0405] This invention relates to a system that monitors text input in real time, detects inappropriate content, and prevents it from occurring. This system operates on a computing device and is designed to monitor user input. A specific embodiment of this system is described below.

[0406] This system functions as a keyboard application on the device. When a user enters text, the device immediately retrieves the content and begins analysis using a natural language processing engine. In this analysis, the entered sentences and words are evaluated based on a pre-configured list of inappropriate expressions and algorithms. As a result, if the device detects content deemed inappropriate, it issues a real-time warning to the user.

[0407] As a concrete example, consider a situation where a user is about to post on social media. For instance, if the user types a message containing offensive language, the device will determine the intent and display a warning such as, "This language is inappropriate. Please stop posting." The user can then receive this warning and either modify the language or change the content to something else.

[0408] Furthermore, the device re-analyzes the input based on the corrected content, and if the problem is resolved, it continues processing it as normal input. This prevents users from unintentionally posting inappropriate content. Because the system is multilingual, it can detect inappropriate expressions in multiple languages.

[0409] In this way, the present invention functions as a system that mitigates inappropriate behavior on the internet and contributes to healthy communication. The system's embodiments are flexible and adaptable to different platforms and devices.

[0410] The following describes the processing flow.

[0411] Step 1:

[0412] The terminal captures the user's input in real time as they begin typing using the keyboard. The terminal sequentially saves the input events to a buffer in preparation for subsequent processing.

[0413] Step 2:

[0414] The device passes the acquired input text to a natural language processing engine. This engine tokenizes the input and uses a language model to analyze each word and phrase. The analysis uses rule-based or machine learning models to determine if the input contains inappropriate expressions.

[0415] Step 3:

[0416] Based on the analysis results, the server evaluates whether the input text matches a predefined list of inappropriate expressions or criteria. Based on the evaluation results, it flags the text to determine its degree of inappropriateness.

[0417] Step 4:

[0418] If the device is deemed inappropriate, it will immediately display a warning message to the user via a pop-up. This warning may include specific inappropriate phrases and suggested improvements.

[0419] Step 5:

[0420] The user reviews the warnings and corrects the input as needed. If the user corrects the content, the corrected input is returned to step 1, and the same analysis process is repeated.

[0421] Step 6:

[0422] Once the device determines that the corrected text is appropriate, it continues with normal input processing and sends the text to the application or service intended by the user. This prevents unintentional inappropriate postings and allows users to maintain healthy communication.

[0423] (Example 1)

[0424] Next, we will describe Example 1. 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."

[0425] On information dissemination platforms, the posting of inappropriate content can have significant consequences for individuals and society. While it is necessary to detect and prevent the unpublishing of inappropriate text in advance, real-time analysis and multilingual support are not easy. Furthermore, the ability to re-evaluate content after error correction is insufficient, making its implementation a challenge.

[0426] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0427] In this invention, the server includes data collection means for instantly acquiring and analyzing user input, means for evaluating the collected data using natural language processing technology and comparing it with pre-set criteria to detect inappropriate expressions, and means for notifying the user of a warning about content deemed inappropriate and prompting the user to review their input. This makes it possible to prevent users from posting inappropriate content.

[0428] "User input" refers to text data provided by users through digital devices.

[0429] "Data collection means" refers to the process or technology for instantly acquiring information entered by a user and analyzing it within the system.

[0430] "Natural language processing technology" is artificial intelligence technology that enables computers to understand, interpret, and generate human language.

[0431] "Inappropriate language" refers to language use that is deemed inappropriate according to social or ethical standards, and is judged based on specific criteria.

[0432] "Means of notifying a warning" refers to a process or technology that provides visual or auditory alerts to the user regarding detected inappropriate content.

[0433] A "means of prompting review of input" refers to a method of prompting the user to correct or change inappropriate content when it is detected.

[0434] "Methods for re-evaluation" refers to the process of re-analyzing content modified or changed by users and verifying whether that content is appropriate.

[0435] "Multilingual support" refers to the ability to function in diverse language environments by possessing the capability to analyze text using different languages.

[0436] For the implementation of this invention, the system primarily operates on a terminal. The terminal has a function to instantly capture the content of text entered by the user using a keyboard or voice input device. This function supports an interface for sequentially acquiring and analyzing user input by setting up hooks, for example, using APIs provided by the operating system.

[0437] The analysis process utilizes software libraries to implement natural language processing techniques. Specific technologies include, for example, open-source libraries and commercial natural language processing engines. This allows for the extraction of meaning and sentiment from the input text data and evaluation for the presence of inappropriate expressions. The evaluation is performed based on pre-defined linguistic and ethical criteria.

[0438] If inappropriate content is detected, the device will immediately issue a visual or audible warning to the user. The warning message will then pop up on the screen. For example, the system might display a message such as, "This expression is inappropriate. Please correct the content." This process allows the user to re-evaluate and revise the text before sending it.

[0439] The text corrected by the user is re-evaluated through the same natural language processing process. At this stage, if the problem is resolved, the terminal notifies the user that the corrected text has been accepted as valid input and can be sent or saved as is.

[0440] As a concrete example, prompt statements are as follows: Commands such as "Does this sentence contain inappropriate language?" or "Analyze the following text and detect inappropriate language" are provided to the generative AI model. This can improve the quality of real-time conversations.

[0441] In this way, the present invention functions as a system that improves the quality of online communication and prevents the transmission of inappropriate expressions through real-time analysis and warnings of user input. This system is equipped with multilingual capabilities and is applicable to users in multiple regions and languages.

[0442] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0443] Step 1:

[0444] The device captures the input in real time the moment the user starts typing. This is achieved by utilizing keyboard and voice input event handlers to store the input text data. The input is raw text data, and at this stage, it is taken into the system as an unevaluated string.

[0445] Step 2:

[0446] The device sends the captured text data to a natural language processing engine and begins analysis. The natural language processing engine uses a generative AI model that includes diverse language models to extract semantic information and sentiment analysis information from the text. Data processing includes tokenization, syntactic analysis, and sentiment scoring. The output is the structure of the analyzed text and an evaluation result indicating whether or not there are inappropriate expressions.

[0447] Step 3:

[0448] The terminal determines whether an inappropriate expression has been detected based on the analysis results of the natural language processing engine. In this determination process, it checks for any matching expressions by comparing them against a pre-configured list of criteria. The input is the analysis result data, and the output is a list of boolean values ​​indicating whether an inappropriate expression is included and the specific locations where it appears.

[0449] Step 4:

[0450] The device will display a warning message to the user if it detects inappropriate language. The warning message will present the inappropriate content and the reason why, and will provide a specific interface to prompt the user to correct it. An example of a prompt message in this message would be, "This language is offensive. Correction is recommended."

[0451] Step 5:

[0452] The user reviews the warnings from the device and manually corrects the indicated inappropriate parts. Once the user has completed the corrections, the device sends the new input back to the natural language processing engine for re-analysis to evaluate the corrections. The input is the corrected text data, and the output is the result of whether the validity of the corrections was confirmed.

[0453] Step 6:

[0454] Based on the re-analysis results, if the device confirms that the problem has been resolved, it notifies the user that the text is correct and proceeds with posting or saving. Upon receiving this notification, the user is ready to post with the correct content. This gives the user peace of mind that the final text is correct.

[0455] (Application Example 1)

[0456] Next, we will explain Application Example 1. In the following explanation, 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."

[0457] In modern communication tools, inappropriate remarks and misleading expressions are a significant problem. Such inappropriate content is leading to online troubles and an increasing number of cases where healthy communication between users is hindered. This is particularly pronounced in multilingual environments, where misunderstandings and inappropriate expressions between different languages ​​become more pronounced. The objective of this invention is to solve this problem and improve the quality of online communication.

[0458] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0459] In this invention, the server includes means for executing a process for monitoring user input in real time, means for analyzing input information using natural language processing technology and detecting inappropriate expressions based on predefined criteria, and means for issuing a warning notification or prompting the user to correct the input when inappropriate content is detected. This enables the user to detect and correct inappropriate content in real time.

[0460] "User input" refers to all data, such as characters, symbols, words, and phrases, that a user enters through an information processing device or terminal.

[0461] "Real-time monitoring" means instantly grasping the input data and immediately analyzing it, thereby processing the information without delay.

[0462] An "information processing device" is an electronic device that has the function of receiving, analyzing, processing, and outputting digital data.

[0463] "Natural language processing technology" is a technology that uses computers to analyze text data, which is human language, in order to understand its meaning and intent.

[0464] "Input information" refers to any text or data that a user provides to the system.

[0465] "Predefined criteria" refer to a set of rules or conditions that have been set in advance to detect inappropriate content.

[0466] "Inappropriate language" refers to words or sentences that may cause offense or misunderstanding in a communication setting.

[0467] "Detection methods" refer to methods or algorithms for identifying and distinguishing inappropriate expressions.

[0468] A "warning notification" is a message or alert that alerts the user when problematic input is detected.

[0469] "Encouraging users to correct their input" means recommending that users correct inappropriate input and change it to a more appropriate expression.

[0470] "Reanalysis" is the process of re-analyzing the corrected data to verify that the content is appropriate.

[0471] This invention provides a system for computing devices and information processing terminals that monitors user-inputted text data in real time, uses natural language processing technology to detect inappropriate expressions, and prompts the user to correct the content as needed.

[0472] The server first receives user input immediately and makes it ready for real-time processing. The input data is analyzed using an API capable of natural language processing, such as the Google Cloud Natural Language API. During this analysis process, the server determines whether the data contains inappropriate expressions according to predefined criteria and rules.

[0473] If inappropriate content is detected, the terminal displays a warning notification to the user. This notification may appear as a message such as, "This expression is inappropriate. Please correct it." The user then corrects the input, and the corrected content is parsed again. Through re-parsing, the server verifies whether the inappropriate content has been removed, and if there are no problems, it accepts the text as the final input.

[0474] For example, if a user attempts to send a message to a friend and uses unnecessarily offensive language, the system will immediately detect the language and issue a warning prompting them to correct it. As a result, the user can review their language and send their intended message in an appropriate format.

[0475] (Example of prompts for a generative AI model)

[0476] "The phrase 'Example Phrase' was detected as inappropriate. How can I correct it?"

[0477] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0478] Step 1:

[0479] The server receives text input from users in real time. This input data is passed to the system's analysis engine. At the time of input, the data is in string format, which is the subject of subsequent analysis.

[0480] Step 2:

[0481] The device analyzes the input data using natural language processing (NLP) technology. This process utilizes external APIs such as the Google Cloud Natural Language API to analyze the text. The input is string data, and the output is structured data containing the analysis results. This data includes the meaning of each word and phrase in the text, as well as sentiment analysis results.

[0482] Step 3:

[0483] The server determines whether the text contains inappropriate expressions based on the analysis results. A predefined set of rules is used for this determination. The input here is the analysis data, and the output is a logical value indicating the presence or absence of inappropriate content.

[0484] Step 4:

[0485] If inappropriate content is detected, the terminal generates and notifies the user with a warning message. The input here is the detection result and detailed information about the inappropriate content. The output is an update to the user interface containing the warning message.

[0486] Step 5:

[0487] The user receives a warning and corrects the text as needed. This corrected text is sent back to the server for re-parsing. Here, the corrected string data is treated as new input and re-parsed.

[0488] Step 6:

[0489] The server re-analyzes the corrected data, confirms the removal of inappropriate content, and then performs final approval. The input is the corrected analyzed data, and the output is the approval status of transmission permission within the system. Based on the result of this process, the user is notified that the correction was successful.

[0490] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0491] This invention relates to a system that includes an emotion engine that not only monitors user text input in real time and detects inappropriate expressions, but also recognizes the user's emotional state from the input content. This system operates on a computing device and is designed to monitor user input behavior.

[0492] The emotion engine analyzes the emotions contained in the text entered by the user, identifying the type and intensity of those emotions. Based on the analyzed emotion information, the device determines whether the entered content is based on the user's emotional state and takes appropriate action. In this process, the emotion data is used to evaluate inappropriateness and provides the user with feedback that takes the emotional context into account.

[0493] As a concrete example, suppose a user writes a sentence expressing strong negative emotions, such as using the phrase "I wish I could just quit." In this case, the device uses an emotion engine to analyze the emotions contained in the sentence (e.g., anger, frustration). The server compares this emotion data with the input text and, if it determines that the user is in an emotionally extreme state, displays an appropriate warning message. The warning message may include something like, "This expression is offensive. Let's calm down and think about it a little more."

[0494] This system aims to help users communicate calmly and prevent inappropriate content from occurring. Furthermore, by providing personalized feedback based on emotions, users can become aware of their own emotions and gain assistance in controlling them appropriately. As a result, this system is expected to improve the quality of online communication.

[0495] The following describes the processing flow.

[0496] Step 1:

[0497] The device prepares to capture the user's input in real time as soon as they begin typing. The input data is temporarily stored in memory and prepared for analysis.

[0498] Step 2:

[0499] The terminal sends the input data to a natural language processing engine for grammatical and semantic analysis. At this stage, initial filtering is applied to determine if inappropriate phrases or words are included.

[0500] Step 3:

[0501] The device activates its emotion engine and analyzes the degree and type of emotion contained in the input text. Based on the context derived from the input, it identifies the emotional state the user intends to express (e.g., anger, sadness, joy).

[0502] Step 4:

[0503] The server aggregates the analysis results and compares them with the results of sentiment analysis to determine whether or not inappropriate language is present. If emotionally charged language is found, the server determines the priority of warnings based on its content.

[0504] Step 5:

[0505] The device displays personalized feedback to the user based on their emotions and inappropriateness. This feedback includes analysis results labeled with emotions and appropriate action suggestions based on those results (e.g., calls to calm down or revisions to the language used).

[0506] Step 6:

[0507] The user reviews the feedback and corrects the input as needed. The corrected text is then returned to step 1 and re-evaluated through the same process.

[0508] Step 7:

[0509] If the terminal determines that the corrected input is appropriate, the server performs a final check and then sends the input text to the intended application or service. This entire process allows users to understand their own emotions and communicate more effectively.

[0510] (Example 2)

[0511] Next, we will describe Example 2. 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."

[0512] In online and digital communication, users often express inappropriate content due to heightened emotions or impulsive remarks. Such expressions can lead to misunderstandings and problems, degrading the quality of communication. Furthermore, because users themselves are unable to properly recognize and control their own emotional states, it is difficult to prevent problems from arising in the first place.

[0513] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0514] In this invention, the server includes means for analyzing input data using a generative AI model to grasp emotions, means for providing feedback based on the analysis results to determine the user's emotional state, and means for issuing a warning or restricting input if inappropriate content is detected. This makes it possible to prevent users from making inappropriate expressions based on emotions and to promote calm and appropriate communication.

[0515] A "user" is an individual or group that uses a system to input text data.

[0516] "Real-time monitoring" means instantly monitoring user input and processing data without delay.

[0517] An "information processing device" refers to a hardware or software configuration that has computing power and can execute a specific program.

[0518] "Natural language processing technology" refers to technologies for understanding and analyzing human language, possessing the ability to analyze text and determine its meaning and emotions.

[0519] A "generative AI model" is an algorithm built on machine learning techniques that has the ability to analyze data and perform specific tasks.

[0520] "Inappropriate language" refers to language that contains offensive or unpleasant content that is socially or ethically unacceptable.

[0521] "Emotional information" refers to information about the types and intensity of human emotions analyzed based on input data.

[0522] "Feedback" refers to responses that provide users with information and suggestions to guide their actions.

[0523] This invention is a system that analyzes text data entered by a user in real time, evaluates their emotional state based on that analysis, and provides appropriate feedback. Specific embodiments of this system are shown below.

[0524] The user inputs text data through a terminal. The terminal immediately sends the text entered by the user to the server. This system operates on a computer system called an information processing system, and it is recommended to use communication protocols such as SSL / TLS to handle data securely.

[0525] The server uses a generative AI model to analyze the received text data using natural language processing techniques. This generative AI model has the ability to recognize emotions within the text and identify their type and intensity. For example, if the input data contains a phrase like "I failed again. Maybe it's hopeless," the server will identify emotional information such as "sadness" or "anxiety."

[0526] Based on the analysis results, the server determines whether the content contains inappropriate language. If inappropriate language is detected and the user's emotional state is deemed extreme, the server immediately generates feedback.

[0527] The device communicates the generated feedback to the user. This includes warning messages and suggestions. For example, a message such as, "This expression is offensive. Please calm down and consider alternative phrasing," may be displayed.

[0528] As an example of a prompt, the AI ​​model can be instructed to "recognize the sentiment behind the text entered by the user and warn if it contains inappropriate language." This instruction aims to help the system manage user input more effectively and promote healthy communication.

[0529] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0530] Step 1:

[0531] The user uses a device to input text data. This input could include chat messages or email body text. The device receives the user's text input in real time and formats it as input data. The formatted text data is then generated as output.

[0532] Step 2:

[0533] The terminal sends the formatted text data to the server. Encryption technology is used during data transmission to ensure data security. The input is the formatted text data from step 1, and the output is the data that reaches the server via secure communication.

[0534] Step 3:

[0535] The server analyzes the received text data using natural language processing techniques. Specifically, a generative AI model is used to analyze words and phrases in the text to identify the type of emotion (e.g., joy, anger) and its intensity. The input is the transmitted text data. The output is analysis result data that includes emotional information.

[0536] Step 4:

[0537] The server evaluates whether the text contains inappropriate expressions based on the analysis results data. Specifically, it makes a judgment by comparing it against pre-set criteria. The input is the analysis results data from step 3. The output is the evaluation result of the inappropriateness.

[0538] Step 5:

[0539] If inappropriate language or excessive emotion is detected, the server generates feedback to provide to the user. This involves creating appropriate warning messages and suggestions. The input is the evaluation results from step 4. The output is the generated feedback message.

[0540] Step 6:

[0541] The terminal displays feedback messages sent from the server to the user. This allows the user to see the system's response to their input in real time. The input is feedback messages from the server, and the output is the feedback displayed on the user's screen.

[0542] (Application Example 2)

[0543] Next, we will explain application example 2. In the following explanation, 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."

[0544] In online interactions such as electronic payments, it is essential to provide appropriate feedback that takes user emotions into consideration. However, current systems cannot adequately analyze the user's emotional state, making it difficult to respond not only to inappropriate expressions but also to responses that take into account the emotional context. This poses a risk of damaging the user experience. The present invention aims to improve the user experience by analyzing user emotions in real time and automatically providing appropriate feedback.

[0545] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0546] In this invention, the server includes means for performing processing to monitor user input in real time, means for analyzing input text using natural language processing technology and detecting inappropriate expressions based on pre-set criteria, means for determining the emotion of the input content using an emotion engine that analyzes the user's emotional state, and means for providing appropriate feedback and guiding user input when inappropriate content or a negative emotional state is detected. This makes it possible to provide appropriate feedback that takes the user's emotions into consideration.

[0547] A "computing device" is a mechanical device designed to perform data processing, and includes computers and servers.

[0548] "Natural language processing technology" is a technology that enables computing devices to understand and process the language that humans use on a daily basis.

[0549] "Input text" refers to character information provided by the user, which is then analyzed by the system.

[0550] A "criteria" is a set of rules or standards used to determine the inappropriateness of text.

[0551] "Inappropriate language" refers to words or phrases that are undesirable or unacceptable in communication.

[0552] An "emotion engine" is a collection of computational algorithms and technologies built to analyze and determine a user's emotional state.

[0553] "Identifying emotions" refers to the act of identifying the type and intensity of emotions contained in user input.

[0554] A "negative emotional state" refers to a state in which the user's emotions are negative, and typically includes feelings of displeasure, anger, and dissatisfaction.

[0555] "Feedback" refers to the responses and advice that a system provides to a user.

[0556] "Guiding user input" refers to the act of providing appropriate guidance to the user's text input, thereby facilitating smooth communication.

[0557] The system for realizing this invention is built primarily around a computing device and an emotion engine. The system implements a program that monitors user input in real time and analyzes the user's input text using natural language processing technology. In the analysis, criteria for detecting inappropriate expressions from the input text are pre-set. If an inappropriate expression is detected, the system notifies the user with a warning or a suggestion for correction.

[0558] Furthermore, the emotion engine analyzes and identifies the emotions of the input in real time, and provides emotionally sensitive feedback, especially when negative emotional states are detected. This feedback encourages users to respond calmly and aims to improve the user experience.

[0559] This system is usable on various computers, smartphones, and tablets, and is implemented using programming languages ​​such as Python. Data processing and calculations are primarily performed through NLP (Natural Language Processing) libraries and APIs. Specifically, it analyzes the sentiment behind text input and constructs user feedback based on the results.

[0560] For example, if a user inputs a complaint such as "the service is slow," the emotion engine recognizes this as a negative emotion. The system then generates a response such as "We apologize for the inconvenience. We will look into it immediately" and sends it to the user. The entire process is supported by a generative AI model, and an example of a prompt in this case would be "Please recognize the user's emotional state based on the text input and generate appropriate feedback."

[0561] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0562] Step 1:

[0563] The server receives text input from the user. The input is monitored in real time, and the user's input data is collected. The input data is sent to the terminal in text format.

[0564] Step 2:

[0565] The terminal analyzes the received input text using natural language processing (NLP) techniques. Specifically, it tokenizes the input data using a language analysis library and analyzes its syntax and grammar. The output of this process is a list of keywords contained in the input text.

[0566] Step 3:

[0567] The server detects inappropriate expressions based on the analyzed keyword list. It compares the input against pre-set criteria, and if the input does not meet the criteria, it is deemed inappropriate. The output generates a judgment of inappropriateness, and if it is deemed inappropriate, a flag is set.

[0568] Step 4:

[0569] The device uses an emotion engine to analyze the emotions contained in the user's input text. In this process, an emotion analysis algorithm is used to identify the type and intensity of the emotion. The input is the user's text data, and the output is a result indicating the emotional state.

[0570] Step 5:

[0571] The server comprehensively evaluates both the detected inappropriateness and emotional state to generate appropriate feedback. A generative AI model is used to construct a message that considers the feedback to be output based on the prompt text. After data calculations based on the input, a user-facing feedback message is obtained as output.

[0572] Step 6:

[0573] Users receive and review feedback messages provided through their devices. This gives users an opportunity to re-evaluate their actions. The device displays the feedback messages on its screen to guide the user's behavior.

[0574] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0575] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0576] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0577] [Fourth Embodiment]

[0578] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0579] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0580] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0581] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0582] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0583] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0584] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0585] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0586] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0587] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0588] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0589] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0590] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0591] This invention relates to a system that monitors text input in real time, detects inappropriate content, and prevents it from occurring. This system operates on a computing device and is designed to monitor user input. A specific embodiment of this system is described below.

[0592] This system functions as a keyboard application on the device. When a user enters text, the device immediately retrieves the content and begins analysis using a natural language processing engine. In this analysis, the entered sentences and words are evaluated based on a pre-configured list of inappropriate expressions and algorithms. As a result, if the device detects content deemed inappropriate, it issues a real-time warning to the user.

[0593] As a concrete example, consider a situation where a user is about to post on social media. For instance, if the user types a message containing offensive language, the device will determine the intent and display a warning such as, "This language is inappropriate. Please stop posting." The user can then receive this warning and either modify the language or change the content to something else.

[0594] Furthermore, the device re-analyzes the input based on the corrected content, and if the problem is resolved, it continues processing it as normal input. This prevents users from unintentionally posting inappropriate content. Because the system is multilingual, it can detect inappropriate expressions in multiple languages.

[0595] In this way, the present invention functions as a system that mitigates inappropriate behavior on the internet and contributes to healthy communication. The system's embodiments are flexible and adaptable to different platforms and devices.

[0596] The following describes the processing flow.

[0597] Step 1:

[0598] The terminal captures the user's input in real time as they begin typing using the keyboard. The terminal sequentially saves the input events to a buffer in preparation for subsequent processing.

[0599] Step 2:

[0600] The device passes the acquired input text to a natural language processing engine. This engine tokenizes the input and uses a language model to analyze each word and phrase. The analysis uses rule-based or machine learning models to determine if the input contains inappropriate expressions.

[0601] Step 3:

[0602] Based on the analysis results, the server evaluates whether the input text matches a predefined list of inappropriate expressions or criteria. Based on the evaluation results, it flags the text to determine its degree of inappropriateness.

[0603] Step 4:

[0604] If the device is deemed inappropriate, it will immediately display a warning message to the user via a pop-up. This warning may include specific inappropriate phrases and suggested improvements.

[0605] Step 5:

[0606] The user reviews the warnings and corrects the input as needed. If the user corrects the content, the corrected input is returned to step 1, and the same analysis process is repeated.

[0607] Step 6:

[0608] Once the device determines that the corrected text is appropriate, it continues with normal input processing and sends the text to the application or service intended by the user. This prevents unintentional inappropriate postings and allows users to maintain healthy communication.

[0609] (Example 1)

[0610] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0611] On information dissemination platforms, the posting of inappropriate content can have significant consequences for individuals and society. While it is necessary to detect and prevent the unpublishing of inappropriate text in advance, real-time analysis and multilingual support are not easy. Furthermore, the ability to re-evaluate content after error correction is insufficient, making its implementation a challenge.

[0612] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0613] In this invention, the server includes data collection means for instantly acquiring and analyzing user input, means for evaluating the collected data using natural language processing technology and comparing it with pre-set criteria to detect inappropriate expressions, and means for notifying the user of a warning about content deemed inappropriate and prompting the user to review their input. This makes it possible to prevent users from posting inappropriate content.

[0614] "User input" refers to text data provided by users through digital devices.

[0615] "Data collection means" refers to the process or technology for instantly acquiring information entered by a user and analyzing it within the system.

[0616] "Natural language processing technology" is artificial intelligence technology that enables computers to understand, interpret, and generate human language.

[0617] "Inappropriate language" refers to language use that is deemed inappropriate according to social or ethical standards, and is judged based on specific criteria.

[0618] "Means of notifying a warning" refers to a process or technology that provides visual or auditory alerts to the user regarding detected inappropriate content.

[0619] A "means of prompting review of input" refers to a method of prompting the user to correct or change inappropriate content when it is detected.

[0620] "Methods for re-evaluation" refers to the process of re-analyzing content modified or changed by users and verifying whether that content is appropriate.

[0621] "Multilingual support" refers to the ability to function in diverse language environments by possessing the capability to analyze text using different languages.

[0622] For the implementation of this invention, the system primarily operates on a terminal. The terminal has a function to instantly capture the content of text entered by the user using a keyboard or voice input device. This function supports an interface for sequentially acquiring and analyzing user input by setting up hooks, for example, using APIs provided by the operating system.

[0623] The analysis process utilizes software libraries to implement natural language processing techniques. Specific technologies include, for example, open-source libraries and commercial natural language processing engines. This allows for the extraction of meaning and sentiment from the input text data and evaluation for the presence of inappropriate expressions. The evaluation is performed based on pre-defined linguistic and ethical criteria.

[0624] If inappropriate content is detected, the device will immediately issue a visual or audible warning to the user. The warning message will then pop up on the screen. For example, the system might display a message such as, "This expression is inappropriate. Please correct the content." This process allows the user to re-evaluate and revise the text before sending it.

[0625] The text corrected by the user is re-evaluated through the same natural language processing process. At this stage, if the problem is resolved, the terminal notifies the user that the corrected text has been accepted as valid input and can be sent or saved as is.

[0626] As a concrete example, prompt statements are as follows: Commands such as "Does this sentence contain inappropriate language?" or "Analyze the following text and detect inappropriate language" are provided to the generative AI model. This can improve the quality of real-time conversations.

[0627] In this way, the present invention functions as a system that improves the quality of online communication and prevents the transmission of inappropriate expressions through real-time analysis and warnings of user input. This system is equipped with multilingual capabilities and is applicable to users in multiple regions and languages.

[0628] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0629] Step 1:

[0630] The device captures the input in real time the moment the user starts typing. This is achieved by utilizing keyboard and voice input event handlers to store the input text data. The input is raw text data, and at this stage, it is taken into the system as an unevaluated string.

[0631] Step 2:

[0632] The device sends the captured text data to a natural language processing engine and begins analysis. The natural language processing engine uses a generative AI model that includes diverse language models to extract semantic information and sentiment analysis information from the text. Data processing includes tokenization, syntactic analysis, and sentiment scoring. The output is the structure of the analyzed text and an evaluation result indicating whether or not there are inappropriate expressions.

[0633] Step 3:

[0634] The terminal determines whether an inappropriate expression has been detected based on the analysis results of the natural language processing engine. In this determination process, it checks for any matching expressions by comparing them against a pre-configured list of criteria. The input is the analysis result data, and the output is a list of boolean values ​​indicating whether an inappropriate expression is included and the specific locations where it appears.

[0635] Step 4:

[0636] The device will display a warning message to the user if it detects inappropriate language. The warning message will present the inappropriate content and the reason why, and will provide a specific interface to prompt the user to correct it. An example of a prompt message in this message would be, "This language is offensive. Correction is recommended."

[0637] Step 5:

[0638] The user reviews the warnings from the device and manually corrects the indicated inappropriate parts. Once the user has completed the corrections, the device sends the new input back to the natural language processing engine for re-analysis to evaluate the corrections. The input is the corrected text data, and the output is the result of whether the validity of the corrections was confirmed.

[0639] Step 6:

[0640] Based on the re-analysis results, if the device confirms that the problem has been resolved, it notifies the user that the text is correct and proceeds with posting or saving. Upon receiving this notification, the user is ready to post with the correct content. This gives the user peace of mind that the final text is correct.

[0641] (Application Example 1)

[0642] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0643] In modern communication tools, inappropriate remarks and misleading expressions are a significant problem. Such inappropriate content is leading to online troubles and an increasing number of cases where healthy communication between users is hindered. This is particularly pronounced in multilingual environments, where misunderstandings and inappropriate expressions between different languages ​​become more pronounced. The objective of this invention is to solve this problem and improve the quality of online communication.

[0644] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0645] In this invention, the server includes means for executing a process for monitoring user input in real time, means for analyzing input information using natural language processing technology and detecting inappropriate expressions based on predefined criteria, and means for issuing a warning notification or prompting the user to correct the input when inappropriate content is detected. This enables the user to detect and correct inappropriate content in real time.

[0646] "User input" refers to all data, such as characters, symbols, words, and phrases, that a user enters through an information processing device or terminal.

[0647] "Real-time monitoring" means instantly grasping the input data and immediately analyzing it, thereby processing the information without delay.

[0648] An "information processing device" is an electronic device that has the function of receiving, analyzing, processing, and outputting digital data.

[0649] "Natural language processing technology" is a technology that uses computers to analyze text data, which is human language, in order to understand its meaning and intent.

[0650] "Input information" refers to any text or data that a user provides to the system.

[0651] "Predefined criteria" refer to a set of rules or conditions that have been set in advance to detect inappropriate content.

[0652] "Inappropriate language" refers to words or sentences that may cause offense or misunderstanding in a communication setting.

[0653] "Detection methods" refer to methods or algorithms for identifying and distinguishing inappropriate expressions.

[0654] A "warning notification" is a message or alert that alerts the user when problematic input is detected.

[0655] "Encouraging users to correct their input" means recommending that users correct inappropriate input and change it to a more appropriate expression.

[0656] "Reanalysis" is the process of re-analyzing the corrected data to verify that the content is appropriate.

[0657] This invention provides a system for computing devices and information processing terminals that monitors user-inputted text data in real time, uses natural language processing technology to detect inappropriate expressions, and prompts the user to correct the content as needed.

[0658] The server first receives user input immediately and makes it ready for real-time processing. The input data is analyzed using an API capable of natural language processing, such as the Google Cloud Natural Language API. During this analysis process, the server determines whether the data contains inappropriate expressions according to predefined criteria and rules.

[0659] If inappropriate content is detected, the terminal displays a warning notification to the user. This notification may appear as a message such as, "This expression is inappropriate. Please correct it." The user then corrects the input, and the corrected content is parsed again. Through re-parsing, the server verifies whether the inappropriate content has been removed, and if there are no problems, it accepts the text as the final input.

[0660] For example, if a user attempts to send a message to a friend and uses unnecessarily offensive language, the system will immediately detect the language and issue a warning prompting them to correct it. As a result, the user can review their language and send their intended message in an appropriate format.

[0661] (Example of prompts for a generative AI model)

[0662] "The phrase 'Example Phrase' was detected as inappropriate. How can I correct it?"

[0663] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0664] Step 1:

[0665] The server receives text input from users in real time. This input data is passed to the system's analysis engine. At the time of input, the data is in string format, which is the subject of subsequent analysis.

[0666] Step 2:

[0667] The device analyzes the input data using natural language processing (NLP) technology. This process utilizes external APIs such as the Google Cloud Natural Language API to analyze the text. The input is string data, and the output is structured data containing the analysis results. This data includes the meaning of each word and phrase in the text, as well as sentiment analysis results.

[0668] Step 3:

[0669] The server determines whether the text contains inappropriate expressions based on the analysis results. A predefined set of rules is used for this determination. The input here is the analysis data, and the output is a logical value indicating the presence or absence of inappropriate content.

[0670] Step 4:

[0671] If inappropriate content is detected, the terminal generates and notifies the user with a warning message. The input here is the detection result and detailed information about the inappropriate content. The output is an update to the user interface containing the warning message.

[0672] Step 5:

[0673] The user receives a warning and corrects the text as needed. This corrected text is sent back to the server for re-parsing. Here, the corrected string data is treated as new input and re-parsed.

[0674] Step 6:

[0675] The server re-analyzes the corrected data, confirms the removal of inappropriate content, and then performs final approval. The input is the corrected analyzed data, and the output is the approval status of transmission permission within the system. Based on the result of this process, the user is notified that the correction was successful.

[0676] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0677] This invention relates to a system that includes an emotion engine that not only monitors user text input in real time and detects inappropriate expressions, but also recognizes the user's emotional state from the input content. This system operates on a computing device and is designed to monitor user input behavior.

[0678] The emotion engine analyzes the emotions contained in the text entered by the user, identifying the type and intensity of those emotions. Based on the analyzed emotion information, the device determines whether the entered content is based on the user's emotional state and takes appropriate action. In this process, the emotion data is used to evaluate inappropriateness and provides the user with feedback that takes the emotional context into account.

[0679] As a concrete example, suppose a user writes a sentence expressing strong negative emotions, such as using the phrase "I wish I could just quit." In this case, the device uses an emotion engine to analyze the emotions contained in the sentence (e.g., anger, frustration). The server compares this emotion data with the input text and, if it determines that the user is in an emotionally extreme state, displays an appropriate warning message. The warning message may include something like, "This expression is offensive. Let's calm down and think about it a little more."

[0680] This system aims to help users communicate calmly and prevent inappropriate content from occurring. Furthermore, by providing personalized feedback based on emotions, users can become aware of their own emotions and gain assistance in controlling them appropriately. As a result, this system is expected to improve the quality of online communication.

[0681] The following describes the processing flow.

[0682] Step 1:

[0683] The device prepares to capture the user's input in real time as soon as they begin typing. The input data is temporarily stored in memory and prepared for analysis.

[0684] Step 2:

[0685] The terminal sends the input data to a natural language processing engine for grammatical and semantic analysis. At this stage, initial filtering is applied to determine if inappropriate phrases or words are included.

[0686] Step 3:

[0687] The device activates its emotion engine and analyzes the degree and type of emotion contained in the input text. Based on the context derived from the input, it identifies the emotional state the user intends to express (e.g., anger, sadness, joy).

[0688] Step 4:

[0689] The server aggregates the analysis results and compares them with the results of sentiment analysis to determine whether or not inappropriate language is present. If emotionally charged language is found, the server determines the priority of warnings based on its content.

[0690] Step 5:

[0691] The device displays personalized feedback to the user based on their emotions and inappropriateness. This feedback includes analysis results labeled with emotions and appropriate action suggestions based on those results (e.g., calls to calm down or revisions to the language used).

[0692] Step 6:

[0693] The user reviews the feedback and corrects the input as needed. The corrected text is then returned to step 1 and re-evaluated through the same process.

[0694] Step 7:

[0695] If the terminal determines that the corrected input is appropriate, the server performs a final check and then sends the input text to the intended application or service. This entire process allows users to understand their own emotions and communicate more effectively.

[0696] (Example 2)

[0697] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0698] In online and digital communication, users often express inappropriate content due to heightened emotions or impulsive remarks. Such expressions can lead to misunderstandings and problems, degrading the quality of communication. Furthermore, because users themselves are unable to properly recognize and control their own emotional states, it is difficult to prevent problems from arising in the first place.

[0699] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0700] In this invention, the server includes means for analyzing input data using a generative AI model to grasp emotions, means for providing feedback based on the analysis results to determine the user's emotional state, and means for issuing a warning or restricting input if inappropriate content is detected. This makes it possible to prevent users from making inappropriate expressions based on emotions and to promote calm and appropriate communication.

[0701] A "user" is an individual or group that uses a system to input text data.

[0702] "Real-time monitoring" means instantly monitoring user input and processing data without delay.

[0703] An "information processing device" refers to a hardware or software configuration that has computing power and can execute a specific program.

[0704] "Natural language processing technology" refers to technologies for understanding and analyzing human language, possessing the ability to analyze text and determine its meaning and emotions.

[0705] A "generative AI model" is an algorithm built on machine learning techniques that has the ability to analyze data and perform specific tasks.

[0706] "Inappropriate language" refers to language that contains offensive or unpleasant content that is socially or ethically unacceptable.

[0707] "Emotional information" refers to information about the types and intensity of human emotions analyzed based on input data.

[0708] "Feedback" refers to responses that provide users with information and suggestions to guide their actions.

[0709] This invention is a system that analyzes text data entered by a user in real time, evaluates their emotional state based on that analysis, and provides appropriate feedback. Specific embodiments of this system are shown below.

[0710] The user inputs text data through a terminal. The terminal immediately sends the text entered by the user to the server. This system operates on a computer system called an information processing system, and it is recommended to use communication protocols such as SSL / TLS to handle data securely.

[0711] The server uses a generative AI model to analyze the received text data using natural language processing techniques. This generative AI model has the ability to recognize emotions within the text and identify their type and intensity. For example, if the input data contains a phrase like "I failed again. Maybe it's hopeless," the server will identify emotional information such as "sadness" or "anxiety."

[0712] Based on the analysis results, the server determines whether the content contains inappropriate language. If inappropriate language is detected and the user's emotional state is deemed extreme, the server immediately generates feedback.

[0713] The device communicates the generated feedback to the user. This includes warning messages and suggestions. For example, a message such as, "This expression is offensive. Please calm down and consider alternative phrasing," may be displayed.

[0714] As an example of a prompt, the AI ​​model can be instructed to "recognize the sentiment behind the text entered by the user and warn if it contains inappropriate language." This instruction aims to help the system manage user input more effectively and promote healthy communication.

[0715] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0716] Step 1:

[0717] The user uses a device to input text data. This input could include chat messages or email body text. The device receives the user's text input in real time and formats it as input data. The formatted text data is then generated as output.

[0718] Step 2:

[0719] The terminal sends the formatted text data to the server. Encryption technology is used during data transmission to ensure data security. The input is the formatted text data from step 1, and the output is the data that reaches the server via secure communication.

[0720] Step 3:

[0721] The server analyzes the received text data using natural language processing techniques. Specifically, a generative AI model is used to analyze words and phrases in the text to identify the type of emotion (e.g., joy, anger) and its intensity. The input is the transmitted text data. The output is analysis result data that includes emotional information.

[0722] Step 4:

[0723] The server evaluates whether the text contains inappropriate expressions based on the analysis results data. Specifically, it makes a judgment by comparing it against pre-set criteria. The input is the analysis results data from step 3. The output is the evaluation result of the inappropriateness.

[0724] Step 5:

[0725] If inappropriate language or excessive emotion is detected, the server generates feedback to provide to the user. This involves creating appropriate warning messages and suggestions. The input is the evaluation results from step 4. The output is the generated feedback message.

[0726] Step 6:

[0727] The terminal displays feedback messages sent from the server to the user. This allows the user to see the system's response to their input in real time. The input is feedback messages from the server, and the output is the feedback displayed on the user's screen.

[0728] (Application Example 2)

[0729] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0730] In online interactions such as electronic payments, it is essential to provide appropriate feedback that takes user emotions into consideration. However, current systems cannot adequately analyze the user's emotional state, making it difficult to respond not only to inappropriate expressions but also to responses that take into account the emotional context. This poses a risk of damaging the user experience. The present invention aims to improve the user experience by analyzing user emotions in real time and automatically providing appropriate feedback.

[0731] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0732] In this invention, the server includes means for performing processing to monitor user input in real time, means for analyzing input text using natural language processing technology and detecting inappropriate expressions based on pre-set criteria, means for determining the emotion of the input content using an emotion engine that analyzes the user's emotional state, and means for providing appropriate feedback and guiding user input when inappropriate content or a negative emotional state is detected. This makes it possible to provide appropriate feedback that takes the user's emotions into consideration.

[0733] A "computing device" is a mechanical device designed to perform data processing, and includes computers and servers.

[0734] "Natural language processing technology" is a technology that enables computing devices to understand and process the language that humans use on a daily basis.

[0735] "Input text" refers to character information provided by the user, which is then analyzed by the system.

[0736] A "criteria" is a set of rules or standards used to determine the inappropriateness of text.

[0737] "Inappropriate language" refers to words or phrases that are undesirable or unacceptable in communication.

[0738] An "emotion engine" is a collection of computational algorithms and technologies built to analyze and determine a user's emotional state.

[0739] "Identifying emotions" refers to the act of identifying the type and intensity of emotions contained in user input.

[0740] A "negative emotional state" refers to a state in which the user's emotions are negative, and typically includes feelings of displeasure, anger, and dissatisfaction.

[0741] "Feedback" refers to the responses and advice that a system provides to a user.

[0742] "Guiding user input" refers to the act of providing appropriate guidance to the user's text input, thereby facilitating smooth communication.

[0743] The system for realizing this invention is built primarily around a computing device and an emotion engine. The system implements a program that monitors user input in real time and analyzes the user's input text using natural language processing technology. In the analysis, criteria for detecting inappropriate expressions from the input text are pre-set. If an inappropriate expression is detected, the system notifies the user with a warning or a suggestion for correction.

[0744] Furthermore, the emotion engine analyzes and identifies the emotions of the input in real time, and provides emotionally sensitive feedback, especially when negative emotional states are detected. This feedback encourages users to respond calmly and aims to improve the user experience.

[0745] This system is usable on various computers, smartphones, and tablets, and is implemented using programming languages ​​such as Python. Data processing and calculations are primarily performed through NLP (Natural Language Processing) libraries and APIs. Specifically, it analyzes the sentiment behind text input and constructs user feedback based on the results.

[0746] For example, if a user inputs a complaint such as "the service is slow," the emotion engine recognizes this as a negative emotion. The system then generates a response such as "We apologize for the inconvenience. We will look into it immediately" and sends it to the user. The entire process is supported by a generative AI model, and an example of a prompt in this case would be "Please recognize the user's emotional state based on the text input and generate appropriate feedback."

[0747] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0748] Step 1:

[0749] The server receives text input from the user. The input is monitored in real time, and the user's input data is collected. The input data is sent to the terminal in text format.

[0750] Step 2:

[0751] The terminal analyzes the received input text using natural language processing (NLP) techniques. Specifically, it tokenizes the input data using a language analysis library and analyzes its syntax and grammar. The output of this process is a list of keywords contained in the input text.

[0752] Step 3:

[0753] The server detects inappropriate expressions based on the analyzed keyword list. It compares the input against pre-set criteria, and if the input does not meet the criteria, it is deemed inappropriate. The output generates a judgment of inappropriateness, and if it is deemed inappropriate, a flag is set.

[0754] Step 4:

[0755] The device uses an emotion engine to analyze the emotions contained in the user's input text. In this process, an emotion analysis algorithm is used to identify the type and intensity of the emotion. The input is the user's text data, and the output is a result indicating the emotional state.

[0756] Step 5:

[0757] The server comprehensively evaluates both the detected inappropriateness and emotional state to generate appropriate feedback. A generative AI model is used to construct a message that considers the feedback to be output based on the prompt text. After data calculations based on the input, a user-facing feedback message is obtained as output.

[0758] Step 6:

[0759] Users receive and review feedback messages provided through their devices. This gives users an opportunity to re-evaluate their actions. The device displays the feedback messages on its screen to guide the user's behavior.

[0760] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0761] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0762] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0763] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0764] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0765] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0766] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0767] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0768] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0769] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0770] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0771] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0772] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0773] 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.

[0774] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0775] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0776] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0777] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0778] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0779] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0780] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0781] The following is further disclosed regarding the embodiments described above.

[0782] (Claim 1)

[0783] A means that operates on a computing device to execute a process for monitoring user input in real time,

[0784] A means for analyzing input text using natural language processing technology and detecting inappropriate expressions based on predefined criteria,

[0785] Means for notifying users or restricting input when inappropriate content is detected,

[0786] A system that includes this.

[0787] (Claim 2)

[0788] The system according to claim 1, further comprising means for displaying a notification message to the user when inappropriate language is identified.

[0789] (Claim 3)

[0790] The system according to claim 1, further comprising means for re-analyzing user-modified input text and confirming that inappropriate content has been removed.

[0791] "Example 1"

[0792] (Claim 1)

[0793] A data collection method for instantly acquiring and analyzing user input,

[0794] A means for evaluating collected data using natural language processing technology and detecting inappropriate expressions by comparing them with pre-set criteria,

[0795] A means of notifying users of content deemed inappropriate and prompting them to review their input,

[0796] A means to re-analyze the user's modified input and re-evaluate whether there are any problems,

[0797] A means of analyzing text containing different languages ​​through multilingual support,

[0798] A system that includes this.

[0799] (Claim 2)

[0800] The system according to claim 1, further comprising means for displaying a visual or audible warning message to the user when inappropriate language is identified.

[0801] (Claim 3)

[0802] The system according to claim 1, further comprising means for re-evaluating user-modified input text according to pre-configured criteria to confirm that inappropriate content has been removed.

[0803] "Application Example 1"

[0804] (Claim 1)

[0805] A means that operates on an information processing device to execute a process for monitoring user input in real time,

[0806] A means for analyzing input information using natural language processing technology and detecting inappropriate expressions based on predefined criteria,

[0807] A means of issuing a warning notification or prompting the user to correct the input if inappropriate content is detected,

[0808] A means to re-analyze the corrected input information and confirm that the content is not inappropriate,

[0809] ...

[0810] A system that includes this.

[0811] (Claim 2)

[0812] The system according to claim 1, further comprising means for generating and presenting a warning message to the user when inappropriate language is identified.

[0813] (Claim 3)

[0814] The system according to claim 1, further comprising a multilingual support function and means for detecting inappropriate expressions in multiple languages.

[0815] "Example 2 of combining an emotion engine"

[0816] (Claim 1)

[0817] A means operating on an information processing device that performs the process of monitoring user input in real time,

[0818] A means of analyzing input data using natural language processing technology and identifying inappropriate expressions according to predetermined criteria,

[0819] A method using a generative AI model that recognizes emotions from input data and identifies their type and intensity,

[0820] A means of determining the user's emotional state based on analyzed emotional information and providing appropriate feedback,

[0821] Means to issue a warning or restrict data entry if inappropriate content is identified,

[0822] A system that includes this.

[0823] (Claim 2)

[0824] The system according to claim 1, further comprising means for presenting a warning message to the user when inappropriate language is actually detected.

[0825] (Claim 3)

[0826] The system according to claim 1, further comprising means for re-analyzing user-modified input data and confirming that inappropriate content has been removed.

[0827] "Application example 2 when combining with an emotional engine"

[0828] (Claim 1)

[0829] A means that operates on a computing device to perform processing for monitoring user input in real time,

[0830] A means for analyzing input text using natural language processing technology and detecting inappropriate expressions based on pre-set criteria,

[0831] A means of determining the emotion of input content using an emotion engine that analyzes the user's emotional state,

[0832] A means of providing appropriate feedback and guiding user input when inappropriate content or negative emotional states are detected,

[0833] A system that includes this.

[0834] (Claim 2)

[0835] The system according to claim 1, further comprising means for displaying a notification message to the user when inappropriate language or negative sentiment is identified.

[0836] (Claim 3)

[0837] The system according to claim 1, further comprising means for re-analyzing user-modified input text and sentiment states and confirming that inappropriate content or negative sentiments have been removed. [Explanation of symbols]

[0838] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means that operates on a computing device to execute a process for monitoring user input in real time, A means for analyzing input text using natural language processing technology and detecting inappropriate expressions based on predefined criteria, Means for notifying users or restricting input when inappropriate content is detected, A system that includes this.

2. The system according to claim 1, further comprising means for displaying a notification message to the user when inappropriate language is identified.

3. The system according to claim 1, further comprising means for re-analyzing user-modified input text and confirming that inappropriate content has been removed.

Images