Personal Trait Profile Data for NUI Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Natural User Interface (NUI) systems face challenges in understanding user intentions due to individual differences in user interactions, leading to difficulties in authenticating and optimizing user experiences across different systems.
Innovation Solution
A system that generates, stores, and utilizes a personal trait profile containing physical, voice, and gesture data to tailor user interactions and authenticate users across multiple computing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If NUI systems use standardized gesture recognition, then system complexity is reduced and ease of operation is improved, but adaptability to individual user traits deteriorates
Solution Approach 1:
The system performs preliminary actions by capturing and storing user trait data (physical characteristics, voice patterns, gesture styles) during an initial setup phase or through ongoing interaction. This pre-captured data is then used to automatically adapt the NUI system to individual users without requiring complex real-time analysis, thus maintaining ease of operation while improving adaptability.
2Adaptability or versatility
If NUI systems are customized to individual user traits, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary component (a separate module or service) that handles the complexity of trait analysis and profile management. This intermediary sits between the capture devices and the core NUI processing, absorbing the computational complexity of analyzing physical characteristics, voice patterns, and gesture styles, while presenting a simplified interface to the rest of the system.
Solution Approach 2:
The system creates simplified copies or representations of user traits in the form of structured profiles containing key characteristics. Instead of processing raw sensor data every time a user interacts, the system uses these pre-processed trait profiles to quickly adapt to users, reducing the computational complexity of real-time customization while maintaining adaptability.
3Reliability
If NUI systems require authentication protocols, then security is improved, but ease of operation deteriorates
Solution Approach 1:
The system implements self-service authentication by automatically capturing and analyzing user traits (physical appearance, voice, gesture patterns) to identify and authenticate users without requiring manual intervention. The NUI system performs the authentication process autonomously by comparing captured traits against stored profiles, thereby maintaining security while eliminating the need for traditional login protocols and improving ease of operation.
Data Source
Figure 1A
Figure 1B
Figure 2
AI summary
A system and method is disclosed for sensing, storing and using personal trait profile data. Once sensed and stored, this personal trait profile data may be used for a variety of purposes. In one example, a user's personal trait profile data may be accessed and downloaded to different computing systems with which a user may interact so that the different systems may be instantly tuned to the user's personal traits and manner of interaction. In a further example, a user's personal trait profile data may also be used for authentication purposes.