AI-Driven Interactive Game Personalization via User Data Analysis
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Solution Overview
Problem
Existing electronic devices struggle to provide user-customized interactive games that effectively capture and maintain user interest, as entertainments distributed by central servers are not tailored to individual preferences.
Innovation Solution
An electronic device equipped with artificial intelligence processes user data to determine user interests and generate interactive games based on predicted user engagement, utilizing neural networks to create personalized content that aligns with user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If entertainments are distributed by a central server without customization, then the system complexity is reduced and ease of operation is improved, but user interest and engagement deteriorate
Solution Approach 1:
The system performs preliminary actions by collecting user data and determining user interests before generating entertainment content. The server pre-processes user information and uses it to customize game questions and content, ensuring personalization is ready before the user interacts with the entertainment system.
Solution Approach 2:
The system implements feedback mechanisms by continuously collecting user data during interaction and using this feedback to dynamically adjust and customize entertainment content. User responses and behavior patterns are fed back into the system to refine personalization of game questions and content delivery.
2Adaptability or versatility
If AI processing is implemented to analyze user data and generate personalized content, then user engagement and interest are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent introduces an intermediary layer between raw user data and personalized content generation. This intermediary processing layer analyzes user data to determine user interests and then uses these determined interests to generate customized entertainment content, simplifying the overall complexity by creating a structured intermediate representation.
Solution Approach 2:
The system segments the personalization process into distinct functional modules: user data collection, user interest determination, and personalized content generation. This segmentation allows each module to be independently optimized and managed, reducing overall system complexity while maintaining high personalization capability.
Data Source
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AI summary
Disclosed is a method, performed by an electronic device, of providing a user with an interactive game, the method including obtaining user data collected with respect to the user, determining a user data type for providing the interactive game, based on the user data, generating a question and choices for the interactive game, based on user data that belongs to the determined user data type, from among the user data, and providing the user with the interactive game including the question and the choices.