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 978-1-60558-929-9
Full text not available from this repository.Abstract
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 |
|---|---|
| Subjects: | UNSPECIFIED |
| Departments: | Faculty of Science and Technology > School of Computing & Communications |
| ID Code: | 50119 |
| Deposited By: | ep_importer_pure |
| Deposited On: | 30 Sep 2011 11:36 |
| Refereed?: | No |
| Published?: | Published |
| Last Modified: | 06 Sep 2012 17:06 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/50119 |
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