Investigating tilt-based gesture keyboard entry for single-handed text entry on large devices
Abstract
The popularity of mobile devices with large screens is making single-handed interaction difficult. We propose and evaluate a novel design point around a tilt-based text entry technique which supports single handed usage. Our technique is based on the gesture keyboard (shape writing). However, instead of drawing gestures with a finger or stylus, users articulate a gesture by tilting the device. This can be especially useful when the user’s other hand is otherwise encumbered or unavailable. We show that novice users achieve an entry rate of 15 words- per-minute (wpm) after minimal practice. A pilot longitudinal study reveals that a single participant achieved an entry rate of 32 wpm after approximate 90 minutes of practice. Our data indicate that tilt-based gesture keyboard entry enables walk-up use and provides a suitable text entry rate for occasional use and can act as a promising alternative to single-handed typing in certain situations.
Citation
Yeo , H S , Phang , X-S , Castellucci , S J , Kristensson , P O & Quigley , A J 2017 , Investigating tilt-based gesture keyboard entry for single-handed text entry on large devices . in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems . ACM , New York , pp. 4194-4202 , ACM CHI 2017 Conference on Human Factors in Computing Systems , Denver , Colorado , United States , 6/05/17 . https://doi.org/10.1145/3025453.3025520 conference
Publication
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Type
Conference item
Rights
© 2017, the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at dl.acm.org / https://doi.org/10.1145/3025453.3025520
Description
The research described here was supported by the University of St Andrews and the Scottish Informatics and Computer Science Alliance (SICSA).Collections
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