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Conference papers

Arpège: Learning Multitouch Chord Gestures Vocabularies

Emilien Ghomi 1, 2 Stéphane Huot 1, 2 Olivier Bau 1, 3 Michel Beaudouin-Lafon 1, 2 Wendy E. Mackay 1, 2
1 IN-SITU - Situated interaction
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : This paper presents Arpège, a progressive multitouch input technique for learning chords, as well as a robust recognizer and guidelines for building large chord vocabularies. Experiment one validated our design guidelines and suggests implications for designing vocabularies, i.e. users prefer relaxed to tense chords, chords with fewer fingers and chords with fewer tense fingers. Experiment two demonstrated that users can learn and remember a large chord vocabulary with both Arpège and cheat sheets, and Arpège encourages the creation of effective mnemonics.
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Submitted on : Saturday, October 5, 2013 - 9:46:25 PM
Last modification on : Saturday, March 12, 2022 - 3:09:14 AM
Long-term archiving on: : Friday, April 7, 2017 - 6:54:54 AM


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  • HAL Id : hal-00870173, version 1


Emilien Ghomi, Stéphane Huot, Olivier Bau, Michel Beaudouin-Lafon, Wendy E. Mackay. Arpège: Learning Multitouch Chord Gestures Vocabularies. Interactive Tabletops and Surfaces (ITS '13), ACM, Oct 2013, St Andrews, United Kingdom. ⟨hal-00870173⟩



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