Feedback for Smooth Pursuit Gaze Tracking Based Control
Jari A. Kangas, Oleg Špakov, Poika Isokoski, Deepak Akkil, Jussi Rantala, Roope Raisamo · 2016
Smart glasses, like Google Glass or Microsoft HoloLens, can be used as interfaces that expand human perceptual, cognitive, and actuation capabilities in many everyday situations. Conventional manual interaction techniques, however, are not convenient with smart glasses whereas eye trackers can be built into the frames. This makes gaze tracking a natural input technology for smart glasses. Not much is known about interaction techniques for gaze-aware smart glasses. This paper adds to this knowledge, by comparing feedback modalities (visual, auditory, haptic, none) in a continuous adjustment technique for smooth pursuit gaze tracking. Smooth pursuit based gaze tracking has been shown to enable flexible and calibration free method for spontaneous interaction situations. Continuous adjustment, on the other hand, is a technique that is needed in many everyday situations such as adjusting the volume of a sound system or the intensity of a light source. We measured user performance and preference in a task where participants matched the shades of two gray rectangles. The results showed no statistically significant differences in performance, but clear user preference and acceptability for haptic and audio feedback.