@inproceedings{0f42f46e9a7d4891b7b0d271aab19fde,
title = "WrisText: One-handed text entry on smartwatch using WrisT gestures",
abstract = "We present WrisText - A one-handed text entry technique for smartwatches using the joystick-like motion of the wrist. A user enters text by whirling the wrist of the watch hand, towards six directions which each represent a key in a circular keyboard, and where the letters are distributed in an alphabetical order. The design of WrisText was an iterative process, where we first conducted a study to investigate optimal key size, and found that keys needed to be 55° or wider to achieve over 90\% striking accuracy. We then computed an optimal keyboard layout, considering a joint optimization problem of striking accuracy, striking comfort, word disambiguation. We evaluated the performance of WrisText through a five-day study with 10 participants in two text entry scenarios: hand-up and hand-down. On average, participants achieved a text entry speed of 9.9 WPM across all sessions, and were able to type as fast as 15.2 WPM by the end of the last day.",
keywords = "One-handed input, Smartwatch, Text entry",
author = "Jun Gong and Zheer Xu and Qifan Guo and Teddy Seyed and Chen, \{Xiang Anthony\} and Xiaojun Bi and Yang, \{Xing Dong\}",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 ; Conference date: 21-04-2018 Through 26-04-2018",
year = "2018",
month = apr,
day = "20",
doi = "10.1145/3173574.3173755",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems",
}