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Multi-touch rotation gestures : performance and ergonomics

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Hoggan_RotationGesturesPerformanceAndErgonomics.pdf (410.7Kb)
Date
27/04/2013
Author
Hoggan, Eve
Williamson, John
Nacenta, Miguel
Kristensson, Per Ola
Lehtiö, Anu
Funder
EPSRC
Grant ID
EP/H027408/1
Keywords
Multi-touch
Rotation
Rotation gestures
Input devices
Metadata
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Abstract
Rotations performed with the index finger and thumb involve some of the most complex motor action among common multi-touch gestures, yet little is known about the factors affecting performance and ergonomics. This note presents results from a study where the angle, direction, diameter, and position of rotations were systematically manipulated. Subjects were asked to perform the rotations as quickly as possible without losing contact with the display, and were allowed to skip rotations that were too uncomfortable. The data show surprising interaction effects among the variables, and help us identify whole categories of rotations that are slow and cumbersome for users.
Citation
Hoggan , E , Williamson , J , Nacenta , M , Kristensson , P O & Lehtiö , A 2013 , Multi-touch rotation gestures : performance and ergonomics . in Proceedings of the 31st ACM Conference on Human Factors in Computing Systems (CHI 2013) . ACM , pp. 3047-3050 . https://doi.org/10.1145/2470654.2481423
Publication
Proceedings of the 31st ACM Conference on Human Factors in Computing Systems (CHI 2013)
DOI
https://doi.org/10.1145/2470654.2481423
Type
Conference item
Rights
© ACM 2013. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13), http://dx.doi.org/10.1145/2470654.2481423 The copy of record of the paper can be found in: http://dl.acm.org/citation.cfm?doid=2470654.2481423
Description
This work was supported by the Engineering and Physical Sciences Research Council (EP/H027408/1), the Scottish Informatics and Computer Science Alliance, Max Planck Center for Visual Computing and Communications, Academy of Finland, Emil Aaltonen Foundation, and the Department of Computer Science, University of Helsinki.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/5505

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