Jones, Eleanor and Alexander, Jason and Andreou, Andreas and Irani, Pourang and Subramanian, Sriram (2010) GesText: Accelerometer-Based Gestural Text-Entry Systems. In: Proceedings of the 28th International Conference on Human Factors in Computing Systems. CHI '10 . ACM, New York, NY, USA, pp. 2173-2182. ISBN 978-1-60558-929-9Full text not available from this repository.
Accelerometers are common on many devices, including those required for text-entry. We investigate how to enter text with devices that are solely enabled with accelerometers. The challenge of text-entry with such devices can be overcome by the careful investigation of the human limitations in gestural movements with accelerometers. Preliminary studies provide insight into two potential text-entry designs that purely use accelerometers for gesture recognition. In two experiments, we evaluate the effectiveness of each of the text-entry designs. The first experiment involves novice users over a 45 minute period while the second investigates the possible performance increases over a four day period. Our results reveal that a matrix-based text-entry system with a small set of simple gestures is the most efficient (5.4wpm) and subjectively preferred by participants.
|Item Type:||Contribution in Book/Report/Proceedings|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||30 Sep 2011 11:36|
|Last Modified:||06 Sep 2012 17:06|
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