Eye gaze selection requires users to hold their gaze on a target for a set duration (dwell time) before activation; AI calibration learns individual eye stability and adjusts dwell duration, preventing accidental selections from slight jitter while keeping deliberate selections quick. The difference between frustration and fluency often comes down to getting this timing right for each person.
Gaze dwell selection AI calibration is the process by which AI systems learn and adapt to an individual users eye movement patterns, adjusting the timing and sensitivity of gaze-based selection so that looking at an element long enough triggers an action reliably.
Proper calibration is critical for users who rely on eye gaze as their primary input method, and AI-driven personalization reduces false activations and fatigue, making communication and computer access far more efficient for people with severe motor disabilities.
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