Outline Pursuits: Gaze-assisted Selection of Occluded Objects in Virtual Reality
Ludwig Sidenmark, Christopher Clarke, Xuesong Zhang, Jenny Phu, Hans Gellersen

CHI '20: ACM CHI Conference on Human Factors in Computing Systems
Session: VR & physical real input

Abstract
In 3D environments, objects can be difficult to select when they overlap, as this affects available target area and increases selection ambiguity. We introduce Outline Pursuits which extends a primary pointing modality for gaze-assisted selection of occluded objects. Candidate targets within a pointing cone are presented with an outline that is traversed by a moving stimulus. This affords completion of the selection by gaze attention to the intended target's outline motion, detected by matching the user's smooth pursuit eye movement. We demonstrate two techniques implemented based on the concept, one with a controller as the primary pointer, and one in which Outline Pursuits are combined with head pointing for hands-free selection. Compared with conventional raycasting, the techniques require less movement for selection as users do not need to reposition themselves for a better line of sight, and selection time and accuracy are less affected when targets become highly occluded.

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Remote Presentations for the ACM CHI Conference on Human Factors in Computing Systems 2020.

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