Adaptive Graphical Menu Structure for Gesture-Based Interaction
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Solution Overview
Problem
Current human interface systems face challenges in providing seamless interaction between humans and machines due to their linear design paradigm, which creates high learning curves and limited bandwidth for user intent and information transfer, failing to prioritize the user and content effectively.
Innovation Solution
A system and method that presents images to users, analyzes user gestures, and uses AI engines or neural networks to identify image elements, compare them to known images, and dynamically adjust menus based on historical usage factors, allowing for intuitive interaction through various devices like touchscreens and virtual reality headsets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a linear programmatical interface design is used, then the machine operation is simplified and standardized, but the learning curve for users increases and information transfer bandwidth is limited
Solution Approach 1:
The patent inverts the traditional approach by having the system adapt to the user rather than the user adapting to the system. Instead of presenting fixed linear menus, the system analyzes user gestures and behavior patterns to dynamically generate personalized interface pathways, reversing the adaptation direction to reduce learning time while maintaining operational simplicity
Solution Approach 2:
The interface transitions from a static linear structure to a dynamic adaptive system that evolves based on user interactions. The menu structure is continuously reconfigured based on real-time analysis of user gestures and historical usage data, allowing the system to optimize information presentation as users become more proficient
2Adaptability or versatility
If complex software environments are prioritized, then functional capabilities are enhanced, but user-centered content delivery is compromised and interaction bandwidth is reduced
Solution Approach 1:
The system implements continuous feedback loops where user gestures and interactions are analyzed to refine future interface presentations. Historical usage data is fed back into the system to improve prediction accuracy, creating a closed-loop adaptive mechanism that enhances both functional delivery and user intent communication without increasing complexity
Solution Approach 2:
The interface system serves itself by automatically analyzing user behavior patterns and generating optimized menu structures without requiring manual configuration. The system self-adjusts to user needs, delivering relevant content proactively while maintaining full functional capabilities through automated adaptation
Data Source
AI summary
A human interface including steps of presenting an image, then receiving a gesture from the user. The image is analyzed to identify the elements of the image and then compared to known images and then either soliciting an input from the user or displaying a menu to the user. Comparing the image and/or graphical image elements may be effectuated using a trained artificial intelligence engine or, in some embodiments, with a structured data source, said data source including predetermined images and menu options. If the input from the user is known, then presenting a predetermined menu. If the image is not known, then presenting an image or other menu options, and soliciting from the user the desired options. Once the user selections an option, the resulting selection may be used to further train the AI system or added to the structured data source for future reference.