Hidden pursuits

Abstract

Figure 1: We explore HiddenPursuits, where the trajectory of a moving target is partially hidden while users perform selections via smooth pursuit eye movements. This allows (1) expanding selection areas by enabling targets to move out of the bounds of small displays (e.g., mobile devices and smartwatches), and (2) selection of targets even if they are partially occluded (e.g., in VR). In our user study, we hid 0%, 25%, 50% and 75% of the target's (fish) trajectories, and measured how well eye movements correlate with the anticipated target's trajectory. Arrows are for illustration and were not displayed.

Designing Motion Matching for Real-World Applications

“…Related work has developed and studied a variety of technical implementations of motion matching interaction, using webcams [11,12], depth-sensors [9], eye-trackers [18,25,37,48,52], magnets [39], and inertial measurement units (IMUs) embedded in smart-watches [50], phones [4], and AR headsets [19]. These implementations are supplemented with work on further algorithmic developments and novel deployments [10,16,21,27,29,47]. Taken together, these laboratory studies have shown that people are able to accurately interact with motion matching interfaces after a very short learning period.…”