Mid-air Pointing on Ultra-Walls

Mathieu Nancel 1, 2, 3 Emmanuel Pietriga 1, 4, 5 Olivier Chapuis 1, 4 Michel Beaudouin-Lafon 1, 6
4 ILDA - Interacting with Large Data
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
6 EX-SITU - Extreme Interaction
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : Ultra-high-resolution wall-sized displays (" ultra-walls ") are effective for presenting large datasets, but their size and resolution make traditional pointing techniques inadequate for precision pointing. We study mid-air pointing techniques that can be combined with other, domain-specific interactions. We first explore the limits of existing single-mode remote pointing techniques and demonstrate theoretically that they do not support high-precision pointing on ultra-walls. We then explore solutions to improve mid-air pointing efficiency: a tunable acceleration function and a framework for dual-precision techniques, both with precise tuning guidelines. We designed novel pointing techniques following these guidelines, several of which outperform existing techniques in controlled experiments that involve pointing difficulties never tested prior to this work. We discuss the strengths and weaknesses of our techniques to help interaction designers choose the best technique according to the task and equipment at hand. Finally, we discuss the cognitive mechanisms that affect pointing performance with these techniques.
Document type :
Journal articles
ACM Transactions on Computer-Human Interaction, Association for Computing Machinery, 2015, 22 (5), pp.21:1--21:62. <ACM>. <10.1145/2766448>
Liste complète des métadonnées



https://hal.inria.fr/hal-01184544
Contributor : Olivier Chapuis <>
Submitted on : Saturday, August 15, 2015 - 7:11:59 PM
Last modification on : Friday, February 17, 2017 - 4:10:34 PM
Document(s) archivé(s) le : Monday, November 16, 2015 - 10:46:05 AM

Files

ToCHI15-ultrawalls-hal-v1.pdf
Files produced by the author(s)

Identifiers

Citation

Mathieu Nancel, Emmanuel Pietriga, Olivier Chapuis, Michel Beaudouin-Lafon. Mid-air Pointing on Ultra-Walls. ACM Transactions on Computer-Human Interaction, Association for Computing Machinery, 2015, 22 (5), pp.21:1--21:62. <ACM>. <10.1145/2766448>. <hal-01184544>

Share

Metrics

Record views

476

Document downloads

782