Effects of Display Size and Navigation Type on a Classification Task

Can Liu 1, 2, 3 Olivier Chapuis 1, 2 Michel Beaudouin-Lafon 1, 2 Éric Lecolinet 3 Wendy E. Mackay 1, 4
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
2 LRI - Laboratoire de Recherche en Informatique
3 LTCI - Laboratoire Traitement et Communication de l'Information
4 InSitu
LRI - Laboratoire de Recherche en Informatique
Abstract : The advent of ultra-high resolution wall-size displays and their use for complex tasks require a more systematic analysis and deeper understanding of their advantages and drawbacks compared with desktop monitors. While previous work has mostly addressed search, visualization and sense-making tasks, we have designed an abstract classification task that involves explicit data manipulation. Based on our observations of real uses of a wall display, this task represents a large category of applications. We report on a controlled experiment that uses this task to compare physical navigation in front of a wall-size display with virtual navigation using pan-and-zoom on the desktop. Our main finding is a robust interaction effect between display type and task difficulty: while the desktop can be faster than the wall for simple tasks, the wall gains a sizable advantage as the task becomes more difficult. A follow-up study shows that other desktop techniques (overview+detail, lens) do not perform better than pan-and-zoom and are therefore slower than the wall for difficult tasks.
Keywords : Overview+detail Lenses Pan-and-zoom Physical navigation Wall-size display Classification task
Type de document :
Communication dans un congrès
Proceedings of the 32nd international conference on Human factors in computing systems, Apr 2014, Toronto, Canada. ACM, pp.4147-4156, 2014, CHI '14. 〈10.1145/2556288.2557020〉
Liste complète des métadonnées

Littérature citée [25 références]  Voir  Masquer  Télécharger

classify-thumb-100.jpg
classify-thumb-100.jpg
https://hal.archives-ouvertes.fr/hal-00957269
Contributeur : Olivier Chapuis <>
Soumis le : mardi 6 mai 2014 - 10:15:54
Dernière modification le : samedi 22 décembre 2018 - 20:02:02
Document(s) archivé(s) le : mercredi 6 août 2014 - 11:56:04

Fichiers

chi14-classify-hal-v2.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

INRIA | UMR8623 | INSTITUT-TELECOM | TELECOM-PARISTECH | PARISTECH | LRI-HCC

Citation

Can Liu, Olivier Chapuis, Michel Beaudouin-Lafon, Éric Lecolinet, Wendy E. Mackay. Effects of Display Size and Navigation Type on a Classification Task. Proceedings of the 32nd international conference on Human factors in computing systems, Apr 2014, Toronto, Canada. ACM, pp.4147-4156, 2014, CHI '14. 〈10.1145/2556288.2557020〉. 〈hal-00957269v2〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

934

Téléchargements de fichiers

536

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD