@inproceedings{0bf9c98608d547dc974b8fbdd89a07b9,
title = "Gait phase effects in mobile interaction",
abstract = "One problem evaluating mobile and wearable devices is that they are used in mobile settings, making it hard to collect usability data. We present a study of tap-based selection of on-screen targets whilst walking and sitting, using a PocketPC instrumented with an accelerometer to collect information about user activity at the time of each tap. From these data the user's gait can be derived, and this is then used to investigate preferred tapping behaviour relative to gait phase, and associated tap accuracy. Results showed that users were more accurate sitting than walking. When walking there were phase regions with significantly increased tap likelihood, and these regions had significantly lower error rates, and lower error variability. This work represents an example of accelerometer-instrumented mobile usability analysis, and the results give a quantitative understanding of the detailed interactions taking place when on the move, allowing us to develop better mobile interfaces.",
keywords = "Accelerometer, Gait effects, Instrumented usability, Mobile devices, Pen-based interfaces, Rhythmic interaction, Targeting",
author = "Andrew Crossan and Roderick Murray-Smith and Stephen Brewster and James Kelly and Bojan Musizza",
year = "2005",
month = apr,
day = "2",
doi = "10.1145/1056808.1056904",
language = "English",
isbn = "1595930027",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery (ACM)",
pages = "1312--1315",
booktitle = "Proceedings: CHI EA '05: CHI '05 Extended Abstracts on Human Factors in Computing Systems",
address = "United States",
note = "Conference on Human Factors in Computing Systems 2005, CHI EA 2005 ; Conference date: 02-04-2005 Through 07-04-2005",
}