User attribute / social trend-driven dialogue optimization ai control system

Abstract

To provide an AI dialogue control technique that utilizes both individual optimization and social trends to enable natural dialogue tailored to the age, gender, interest, etc. of each user.SOLUTION: The present invention relates to a conversational AI control system implemented on the cloud, and is equipped with a response optimization engine configured to generate responses by associating user attribute data with social trends such as news, SNS, and seasonal events. Dialogue is also individually optimized using a personality variation module configured to control expression styles including emotional expression. The system also supports a relearning mechanism and corporate templates.SELECTED DRAWING: None

Description

[Technical Field]

[0001] The present invention relates to an interactive AI control system implemented in a cloud environment, and belongs to the technical field of realizing natural dialogue that is linked to social trends and behaviors while responding to individual user attributes. [Background technology]

[0002] Currently, most conversational AI systems are designed to output answers to specified queries in a uniform manner using a set of logic. However, the technology for realizing well-defined conversations that respond to different user attributes and social trends has only been implemented in limited fields, and there is a growing need for conversational systems that can achieve both generality and individuality. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 2019123456 [Patent Document 2] Patent No. 2021078910 [Patent Document 3] Patent No. 2022115349 Summary of the Invention [Problem to be solved by the invention]

[0004] The present invention provides an implementation structure that enables individually optimized dialogue execution by integrating new social trends and trend information based on attribute data such as the user's age, gender, living environment, areas of interest, usage history, and behavioral tendencies.

[0005] Individual users' interests and social trends vary depending on their gender, age, and lifestyle, making it difficult to increase satisfaction through uniform dialogue. Furthermore, social trends change over time, so a dialogue structure that constantly delivers the latest information is required. [Means for solving the problem]

[0006] The AI ​​control system of the present invention comprises the following components: a user attribute data accumulation module, a trend acquisition module that automatically collects social trends and movements, a response optimization engine that generates dialogue that links the interests of individual users with social information, and a personality variation module that adds variability to the content of responses.These components work together to naturally output the latest conversation topics that are in line with the times, achieving a more advanced user experience. [Effects of the Invention]

[0007] This invention enables very natural and lively dialogue based on the interests of individual users and social trends, making it possible to build highly practical dialogue AI in the fields of entertainment, public information, and individual support. DETAILED DESCRIPTION OF THE INVENTION

[0008] This invention is configured as an AI dialogue control system implemented in a cloud environment, linking user attributes with social information. The engine periodically collects information from external APIs and news sites, classifies it according to attributes, and then creates output content as topics that take preferences and statistical trends into consideration. Parameters representing emotions such as "happy" or "anger" are linked to the response content, and the system automatically changes personality and linguistic expressions to match the recipient's reaction.

Claims

1. This is a user attribute and social trend linked dialogue optimization AI control system that is implemented in a cloud environment and is characterized by comprising: a trend acquisition module that acquires external information related to news, SNS trends, local events, seasonal events, policy changes, and social trends such as education, medical care, and welfare trends from user attribute data such as the user's age, gender, living environment, areas of interest, usage history, and behavioral tendencies; a response optimization engine that associates the user attribute data with external trend information to dynamically generate and adjust dialogue response content; and a personality variation module that controls the expression style, including the tone of voice, topics, and emotional portrayal of the AI ​​character, based on the output of the response optimization engine, thereby providing users with a timely and individually optimized dialogue experience.

2. The user attribute and social trend linked dialogue optimization AI control system described in claim 1 is characterized in that it filters entertainment trend information such as music, comedians, dramas, sports, and SNS buzzwords from the response optimization engine by age group and region, and then combines this information with the user's preference history to present natural dialogue themes that match the user's hobbies and preferences.

3. The user attribute and social trend linked dialogue optimization AI control system according to claim 1 or 2 is characterized in that the personality change module gradually changes the emotional state (joy, anger, sadness, happiness) and tension level of the AI ​​character based on the dialogue content, user reaction, facial expression estimation, voice tone, etc.

4. The user attribute and social trend linked dialogue optimization AI control system according to any one of claims 1 to 3 is characterized by including a corporate customized response mechanism that provides specialized topics according to business areas such as health guidance, educational consultation, childcare support, tourist information, public policy notifications, and product recommendations based on user attributes from business-specific templates for companies and organizations.

5. The user attribute and social trend linked dialogue optimization AI control system according to any one of claims 1 to 4 is characterized in that it is equipped with a re-learning mechanism that accumulates explicit feedback and non-verbal reaction logs from the response optimization engine as learning data, and continuously improves response accuracy and satisfaction.