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.
Type de document :
Article dans une revue
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
Contributeur : Olivier Chapuis <>
Soumis le : samedi 15 août 2015 - 19:11:59
Dernière modification le : vendredi 17 février 2017 - 16:10:34
Document(s) archivé(s) le : lundi 16 novembre 2015 - 10:46:05

Fichiers

ToCHI15-ultrawalls-hal-v1.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

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>

Partager

Métriques

Consultations de
la notice

441

Téléchargements du document

759