Shared Interaction on a Wall-Sized Display in a Data Manipulation Task

Can Liu 1, 2, 3, 4 Olivier Chapuis 4, 1 Michel Beaudouin-Lafon 2, 4 Eric Lecolinet 3
1 ILDA - Interacting with Large Data
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
2 EX-SITU - Extreme Interaction
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : Wall-sized displays support small groups of users working together on large amounts of data. Observational studies of such settings have shown that users adopt a range of collaboration styles, from loosely to closely coupled. Shared interaction techniques, in which multiple users perform a command collaboratively, have also been introduced to support co-located collaborative work. In this paper, we operational-ize five collaborative situations with increasing levels of coupling , and test the effects of providing shared interaction support for a data manipulation task in each situation. The results show the benefits of shared interaction for close collaboration: it encourages collaborative manipulation, it is more efficient and preferred by users, and it reduces physical navigation and fatigue. We also identify the time costs caused by disruption and communication in loose collaboration and analyze the trade-offs between parallelization and close collaboration. These findings inform the design of shared interaction techniques to support collaboration on wall-sized displays.
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Communication dans un congrès
Proceedings of the 34th international conference on Human factors in computing systems, May 2016, San Jose, United States. ACM, pp.1-12, CHI '16. 〈https://chi2016.acm.org/〉. 〈10.1145/2858036.2858039〉
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Dernière modification le : vendredi 27 avril 2018 - 14:44:03
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Can Liu, Olivier Chapuis, Michel Beaudouin-Lafon, Eric Lecolinet. Shared Interaction on a Wall-Sized Display in a Data Manipulation Task. Proceedings of the 34th international conference on Human factors in computing systems, May 2016, San Jose, United States. ACM, pp.1-12, CHI '16. 〈https://chi2016.acm.org/〉. 〈10.1145/2858036.2858039〉. 〈hal-01275535〉

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