TAGSwipe: Touch Assisted Gaze Swipe for Text Entry

要旨

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.

キーワード
Eye typing
multimodal interaction
touch input
dwell-free typing
word-level text entry
swipe
eye tracking
著者
Chandan Kumar
University of Koblenz–Landau, Koblenz, Germany
Ramin Hedeshy
University of Koblenz–Landau, Koblenz, Germany
I. Scott MacKenzie
York University, Toronto, ON, Canada
Steffen Staab
University of Stuttgart & University of Southampton, Stuttgart, Germany
DOI

10.1145/3313831.3376317

論文URL

https://doi.org/10.1145/3313831.3376317

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Text entry

Paper session
306AB
5 件の発表
2020-04-28 18:00:00
2020-04-28 19:15:00
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