TAGSwipe: Touch Assisted Gaze Swipe for Text Entry

Abstract

The conventional dwell-based methods for text entry by gaze are typically slow and uncomfortable. A swipe-based method that maps gaze path into words offers an alternative. However, it requires the user to explicitly indicate the beginning and ending of a word, which is typically achieved by tedious gaze-only selection. This paper introduces TAGSwipe, a bi-modal method that combines the simplicity of touch with the speed of gaze for swiping through a word. The result is an efficient and comfortable dwell-free text entry method. In the lab study TAGSwipe achieved an average text entry rate of 15.46 wpm and significantly outperformed conventional swipe-based and dwell-based methods in efficacy and user satisfaction.

Publication
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Ramin Hedeshy
Ramin Hedeshy
PhD Candidate

My research interests include Human-Computer Interactions, accessibility and artificial intelligence.