Gaze-Initiated Content Actions for Silent Device Control
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Solution Overview
Problem
Existing speech processing systems rely heavily on spoken commands, which can be inconvenient and disruptive, especially in environments where silence is preferred or not feasible.
Innovation Solution
A system that detects and responds to user gaze to initiate actions, such as auto-playing content, by determining gaze duration and location, integrating gaze detection with speech processing to enhance interaction capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speech processing systems use spoken commands for control, then interaction capability is improved, but user convenience deteriorates in silent environments
Solution Approach 1:
The system integrates multiple input modalities (speech, gaze, touch) into a unified control framework, allowing the device to adapt to different interaction scenarios. The gaze detection system works alongside speech processing to provide alternative control methods when speech is not suitable, making the system versatile across different user needs and environments.
Solution Approach 2:
The gaze detection system acts as an intermediary between the user and the device, providing a silent control mechanism that bridges the gap when speech commands are not feasible. The system processes gaze data and translates it into actionable commands, serving as a mediator that enables interaction without requiring verbal communication.
2Adaptability or versatility
If the system integrates gaze detection with speech processing, then interaction versatility is improved, but system complexity increases
Solution Approach 1:
The system divides the interaction processing into separate modules: speech processing, gaze detection, and command synthesis. Each module handles specific tasks independently, with standardized interfaces for communication. This segmentation allows the system to manage complexity by organizing functions into manageable, independent components that can be developed and maintained separately.
Solution Approach 2:
The system merges speech processing and gaze detection into a unified interaction framework that shares common resources such as the processor, memory, and command execution engine. By combining these functions under a single architectural umbrella with shared infrastructure, the system reduces overall complexity compared to maintaining completely separate systems.
3Reliability
If the system requires gaze duration threshold for action initiation, then false actions are reduced, but response time increases
Solution Approach 1:
The system dynamically adjusts the gaze duration threshold based on context, user preferences, and the specific action being attempted. Rather than using a fixed threshold, the system can modify the required gaze duration in real-time, making it shorter for high-priority actions or when user intent is clearly indicated, and longer for less critical actions. This dynamic approach balances reliability and response time adaptively.
Solution Approach 2:
The system changes the temporal parameter of gaze detection by allowing the gaze duration threshold to be adjusted based on various factors including user profile, application context, and action priority. This parameter flexibility enables the system to optimize between false action prevention and quick response by tuning the threshold appropriately for each situation.
Data Source
AI summary
A system that detects the location of a user gaze at a display and in response to the duration of the gaze exceeding a threshold, auto-playing content on the display. The system may also determine gaze event data associating the gaze event with the source of the content the user is gazing at. Other information may also be associated with the gaze event such as user ID, time/duration data, or the like. Various actions can be taken in response to the gaze event such as auto-playing of content, outputting a visual indication of the detected gaze, interpreting detected speech using the gaze event data, data aggregation, etc.