FingerText: Exploring and Optimizing Performance for Wearable, Mobile and One-Handed Typing

要旨

Typing on wearables while situationally impaired, such as while walking, is challenging. However, while HCI research on wearable typing is diverse, existing work focuses on stationary scenarios and fine-grained input that will likely perform poorly when users are on-the-go. To address this issue we explore single-handed wearable typing using inter-hand touches between the thumb and fingers, a modality we argue will be robust to the physical disturbances inherent to input while mobile. We first examine the impact of walking on performance of these touches, noting no significant differences in accuracy or speed, then feed our study data into a multi-objective optimization process in order to design keyboard layouts (for both five and ten keys) capable of supporting rapid, accurate, comfortable, and unambiguous typing. A final study tests these layouts against QWERTY baselines and reports performance improvements of up to 10.45% WPM and 39.44% WER when users type while walking.

著者
DoYoung Lee
UNIST, Ulsan, Korea, Republic of
Jiwan Kim
UNIST, Ulsan, Korea, Republic of
Ian Oakley
UNIST, Ulsan, Korea, Republic of
DOI

10.1145/3411764.3445106

論文URL

https://doi.org/10.1145/3411764.3445106

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Computational Physical Interaction

[A] Paper Room 02, 2021-05-10 17:00:00~2021-05-10 19:00:00 / [B] Paper Room 02, 2021-05-11 01:00:00~2021-05-11 03:00:00 / [C] Paper Room 02, 2021-05-11 09:00:00~2021-05-11 11:00:00
Paper Room 02
12 件の発表
2021-05-10 17:00:00
2021-05-10 19:00:00
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