High-Precision Pointing on Large Wall Displays using Small Handheld Devices

Mathieu Nancel 1, 2 Olivier Chapuis 1, 2 Emmanuel Pietriga 1, 2, 3 Xing-Dong Yang 4 Irani Pourang 5 Michel Beaudouin-Lafon 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 : Rich interaction with high-resolution wall displays is not limited to remotely pointing at targets. Other relevant types of interaction include virtual navigation, text entry, and direct manipulation of control widgets. However, most techniques for remotely acquiring targets with high precision have studied remote pointing in isolation, focusing on pointing efficiency and ignoring the need to support these other types of interaction. We investigate high-precision pointing techniques capable of acquiring targets as small as 4 millimeters on a 5.5 meters wide display while leaving up to 93 of a typical tablet device's screen space available for task-specific widgets. We compare these techniques to state-of-the-art distant pointing techniques and show that two of our techniques, a purely relative one and one that uses head orientation, perform as well or better than the best pointing-only input techniques while using a fraction of the interaction resources.
Type de document :
Communication dans un congrès
CHI '13: SIGCHI Conference on Human Factors and Computing Systems, Apr 2013, Paris, France. ACM, pp.831-840, 2013, <10.1145/2470654.2470773>
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Soumis le : mercredi 1 mai 2013 - 21:34:20
Dernière modification le : jeudi 9 février 2017 - 15:59:21
Document(s) archivé(s) le : vendredi 2 août 2013 - 04:06:22

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Mathieu Nancel, Olivier Chapuis, Emmanuel Pietriga, Xing-Dong Yang, Irani Pourang, et al.. High-Precision Pointing on Large Wall Displays using Small Handheld Devices. CHI '13: SIGCHI Conference on Human Factors and Computing Systems, Apr 2013, Paris, France. ACM, pp.831-840, 2013, <10.1145/2470654.2470773>. <hal-00786532v2>

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