Humans have creatively invented many games and sports that require goal-directed action.
We 1 throw, kick, hit, push, or slide objects of all shapes and sizes, aiming to successfully …

Machine learning models using users' gaze and hand data to encode user interaction
behavior in VR are often tailored to a single task and sensor set, limiting their applicability in …

While providing exciting opportunities for spatial computing, current generation augmented
reality (AR) headsets face visual quality and visual comfort issues. Designing headsets that …

How we perceive objects around us depends on what we actively attend to, yet our eye
movements depend on the perceived objects. Still, object segmentation and gaze behavior …

Gaze-based interactions offer a potential way for users to naturally engage with mixed reality
(XR) interfaces. Black-box machine learning models enabled higher accuracy for gaze …

Input false-positive errors, where a system recognizes an input action that the user did not
perform, have been shown to be particularly costly for user experience. Recent work has …

Although eye-tracking technology is being integrated into more VR and MR headsets, the
true potential of eye tracking in enhancing user interactions within XR settings remains …

All-day augmented reality (AR) requires contextually-aware artificial intelligence (AI) models
that excel across diverse daily contexts. Eye tracking could be a key source of information …

How do sensory systems account for stimuli generated by natural behavior? We addressed
this question by examining how an ethologically relevant class of saccades modulates …