Gesture Typing on Virtual Tabletop: Effect of Input Dimensions on Performance

Loriette, A., Murray-Smith, R. , Stein, S. and Williamson, J. (2017) Gesture Typing on Virtual Tabletop: Effect of Input Dimensions on Performance. In: ACM International Conference on Interactive Surfaces and Spaces (ISS '17), Brighton, UK, 17-20 Oct 2017, pp. 330-335. ISBN 9781450346917 (doi: 10.1145/3132272.3135074)

146963.pdf - Accepted Version



The association of tabletop interaction with gesture typing presents interaction potential for situationally or physically impaired users. In this work, we use depth cameras to create touch surfaces on regular tabletops. We describe our prototype system and report on a supervised learning approach to fingertips touch classification. We follow with a gesture typing study that compares our system with a control tablet scenario and explore the influence of input size and aspect ratio of the virtual surface on the text input performance. We show that novice users perform with the same error rate at half the input rate with our system as compared to the control condition, that an input size between A5 and A4 present the best tradeoff between performance and user preference and that users' indirect tracking ability seems to be the overall performance limiting factor.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Murray-Smith, Professor Roderick and Stein, Dr Sebastian and Williamson, Dr John and Loriette, Mr Antoine
Authors: Loriette, A., Murray-Smith, R., Stein, S., and Williamson, J.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2017 ACM
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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