Craig S. Chapman

This paper uses webcam eye-tracking to measure decision difficulty in binary choice tasks, finding that harder choices involve more eye dwells and longer final dwells.

This paper shows that touch-devices can sensitively capture decision-difficulty through mouse-tracking and touchscreen interactions across different devices.

This study develops a method to generate accurate 3D gaze vectors by combining eye tracking and motion capture, finding that spherical coordinates and binocular data yield the best results.

The paper shows that human movement trajectories reflect predicted target probabilities based on dynamic visual stimuli, indicating rapid integration of predictions and reaction time estimates.

This study validates the GaMA protocol's reproducibility across different sites and technologies for assessing visuomotor upper limb function in non-disabled participants.

The paper shows that theta oscillations, not alpha, predict brightness perception of flickering stimuli, with higher inter-trial phase coherence in theta linked to better brightness discrimination.