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Effects of display size and navigation type on a classification task

  • Can Liu
  • , Olivier Chapuis
  • , Michel Beaudouin-Lafon
  • , Eric Lecolinet
  • , Wendy Mackay
  • Université Paris-Saclay
  • INRIA Institut National de Recherche en Informatique et en Automatique
  • CNRS LTCI

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

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 panand- 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-andzoom and are therefore slower than the wall for difficult tasks.

langue originaleAnglais
titreCHI 2014
Sous-titreOne of a CHInd - Conference Proceedings, 32nd Annual ACM Conference on Human Factors in Computing Systems
EditeurAssociation for Computing Machinery
Pages4147-4156
Nombre de pages10
ISBN (imprimé)9781450324731
Les DOIs
étatPublié - 1 janv. 2014
Modification externeOui
Evénement32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014 - Toronto, ON, Canada
Durée: 26 avr. 20141 mai 2014

Série de publications

NomConference on Human Factors in Computing Systems - Proceedings

Une conférence

Une conférence32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014
Pays/TerritoireCanada
La villeToronto, ON
période26/04/141/05/14

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