Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - GesText: Accelerometer-Based Gestural Text-Entry Systems
AU - Jones, Eleanor
AU - Alexander, Jason
AU - Andreou, Andreas
AU - Irani, Pourang
AU - Subramanian, Sriram
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77954020715&partnerID=8YFLogxK
U2 - 10.1145/1753326.1753655
DO - 10.1145/1753326.1753655
M3 - Conference contribution/Paper
SN - 978-1-60558-929-9
T3 - CHI '10
SP - 2173
EP - 2182
BT - Proceedings of the 28th International Conference on Human Factors in Computing Systems (CHI'10)
PB - ACM
CY - New York, NY, USA
ER -