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Understanding Gesture Articulations Variability

Authors :
Laurent Grisoni
Orlando Erazo
José A. Pino
Yosra Rekik
Universidad Técnica Estatal de Quevedo (UTEQ)
Methods and tools for gestural interactions (MINT)
Laboratoire d'Informatique Fondamentale de Lille (LIFL)
Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Inria Lille - Nord Europe
Institut National de Recherche en Informatique et en Automatique (Inria)
Universidad de Chile = University of Chile [Santiago] (UCHILE)
Regina Bernhaupt
Girish Dalvi
Anirudha Joshi
Devanuj K. Balkrishan
Jacki O'Neill
Marco Winckler
TC 13
Institut National de Recherche en Informatique et en Automatique (Inria)-IRCICA
Universidad Técnica Estatal de Quevedo [UTEQ]
Methods and tools for gestural interactions [MINT]
Universidad de Chile = University of Chile [Santiago] [UCHILE]
Source :
Lecture Notes in Computer Science, 16th IFIP Conference on Human-Computer Interaction (INTERACT), 16th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2017, Bombay, India. pp.293-314, ⟨10.1007/978-3-319-67684-5_18⟩, Human-Computer Interaction-INTERACT 2017 ISBN: 9783319676838, INTERACT (2)
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

Part 4: Information on Demand, on the Move, and Gesture Interaction; International audience; Interfaces based on mid-air gestures often use a one-to-one mapping between gestures and commands, but most remain very basic. Actually, people exhibit inherent intrinsic variations for their gesture articulations because gestures carry dependency with both the person producing them and the specific context, social or cultural, in which they are being produced. We advocate that allowing applications to map many gestures to one command is a key step to give more flexibility, avoid penalizations, and lead to better user interaction experiences. Accordingly, this paper presents our results on mid-air gesture variability. We are mainly concerned with understanding variability in mid-air gesture articulations from a pure user-centric perspective. We describe a comprehensive investigation on how users vary the production of gestures under unconstrained articulation conditions. The conducted user study consisted in two tasks. The first one provides a model of user conception and production of gestures; from this study we also derive an embodied taxonomy of gestures. This taxonomy is used as a basis for the second experiment, in which we perform a fine grain quantitative analysis of gesture articulation variability. Based on these results, we discuss implications for gesture interface designs.

Details

Language :
English
ISBN :
978-3-319-67683-8
ISBNs :
9783319676838
Database :
OpenAIRE
Journal :
Lecture Notes in Computer Science, 16th IFIP Conference on Human-Computer Interaction (INTERACT), 16th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2017, Bombay, India. pp.293-314, ⟨10.1007/978-3-319-67684-5_18⟩, Human-Computer Interaction-INTERACT 2017 ISBN: 9783319676838, INTERACT (2)
Accession number :
edsair.doi.dedup.....65343e04a4a25b3165d343f8f64ad1b1
Full Text :
https://doi.org/10.1007/978-3-319-67684-5_18⟩