Gaze Detection Context Routing for Interaction Control
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Solution Overview
Problem
Current user interfaces require active user input to select contexts and options, which can be cumbersome, especially in voice or gesture-controlled systems, as they often necessitate manual selection of commands or contexts before speaking or gesturing.
Innovation Solution
The system determines the appropriate context and user inputs based on the user's gaze, using gaze detection to identify the point of focus and line of sight, thereby selecting the relevant instruction sets, grammars, and recognition actions, allowing for context-appropriate speech, gestures, or touch inputs without explicit user selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of contexts and options is required, then the system can accurately identify user intent, but the interaction complexity and time required increase significantly
Solution Approach 1:
The system performs preliminary gaze detection to automatically determine the context and select appropriate instruction sets before the user provides voice or gesture input. This eliminates the need for manual context selection and reduces interaction complexity while maintaining accurate intent identification.
Solution Approach 2:
Gaze detection serves as an intermediary mechanism between the user and the system. By detecting where the user is looking, the system automatically mediates context selection and instruction set activation, removing the need for explicit manual selection while preserving intent accuracy.
2Adaptability or versatility
If multiple contexts and instruction sets are made available, then the system becomes more versatile, but the difficulty of detecting and measuring user intent increases
Solution Approach 1:
The system continuously monitors user gaze as feedback to automatically determine which context and instruction set should be active. This feedback mechanism simplifies intent detection by using gaze direction as a reliable indicator of user focus, making the system adaptable without increasing detection difficulty.
3Reliability
If the system waits for explicit user selection of context, then the interaction is more controlled, but the time required for interaction increases
Solution Approach 1:
The system performs preliminary gaze-based context determination before the user completes their command. This preliminary action establishes the interaction context automatically, reducing the time required for subsequent voice or gesture recognition while maintaining reliable interaction control through gaze validation.
Data Source
AI summary
A controller is adapted to recognize an input from a user using an input interface, determine if a user gaze information indicates that the user is gazing at a device, and when the user gaze information indicates that the user is gazing at the device, route response information to the device.


