TAGSwipe: Touch Assisted Gaze Swipe for Text Entry


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.

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

My research interests include human-computer interaction, mechine learning and programmable matter.