Modelling and correcting for the impact of the gait cycle on touch screen typing accuracy

Musić, J., Weir, D., Murray-Smith, R. and Rogers, S. (2016) Modelling and correcting for the impact of the gait cycle on touch screen typing accuracy. mUX: The Journal of Mobile User Experience, 5, 1. (doi: 10.1186/s13678-016-0002-3)

Abstract

Walking and typing on a smartphone is an extremely common interaction. Previous research has shown that error rates are higher when walking than when stationary. In this paper we analyse the acceleration data logged in an experiment in which users typed whilst walking, and extract the gait phase angle. We find statistically significant relationships between tapping time, error rate and gait phase angle. We then use the gait phase as an additional input to an offset model, and show that this allows more accurate touch interaction for walking users than a model which considers only the recorded tap position.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Murray-Smith, Professor Roderick and Rogers, Dr Simon
• Authors: Musić, J., Weir, D., Murray-Smith, R., and Rogers, S.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: mUX: The Journal of Mobile User Experience
• Publisher: SpringerOpen
• ISSN: 2196-873X
• ISSN (Online): 2196-873X
• Copyright Holders: Copyright © 2016 Music et al.
• First Published: First published in mUX: The Journal of Mobile User Experience 5:1
• Publisher Policy: Reproduced under a Creative Commons License