Data Sheet 1_A real-time error prevention system for gaze-based interaction in virtual reality based on anomaly detection.pdf

To address this limitation, we propose a real-time Error Prevention System (EPS) that detects anomalous gaze behaviour during selection tasks.</p>Methods<p>The EPS is based on a Temporal Convolutional Network Autoencoder (TCNAE) trained to reconstruct typical gaze dynamics of correct selections.

In a Virtual Reality (VR) visual search task, 37 participants used three gaze-based interaction methods - dwell time, gaze and head direction alignment, and nod - each evaluated with and without the EPS. Both objective performance metrics and subjective user evaluations were collected.</p>Results<p>The EPS reduced incorrect selections by up to 95% for dwell time and gaze and head alignment, and led to significant performance improvements in these conditions.