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Perception of Visual Variables on Tiled Wall-Sized Displays for Information Visualization Applications

Anastasia Bezerianos 1 Petra Isenberg 2 
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 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : We present the results of two user studies on the perception of visual variables on tiled high-resolution wall-sized displays. We contribute an understanding of, and indicators predicting how, large variations in viewing distances and viewing angles affect the accurate perception of angles, areas, and lengths. Our work, thus, helps visualization researchers with design considerations on how to create effective visualizations for these spaces. The first study showed that perception accuracy was impacted most when viewers were close to the wall but differently for each variable (Angle, Area, Length). Our second study examined the effect of perception when participants could move freely compared to when they had a static viewpoint. We found that a far but static viewpoint was as accurate but less time consuming than one that included free motion. Based on our findings, we recommend encouraging viewers to stand further back from the display when conducting perception estimation tasks. If tasks need to be conducted close to the wall display, important information should be placed directly in front of the viewer or above, and viewers should be provided with an estimation of the distortion effects predicted by our work--or encouraged to physically navigate the wall in specific ways to reduce judgement error.
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Submitted on : Thursday, July 19, 2012 - 11:55:51 AM
Last modification on : Sunday, June 26, 2022 - 11:56:43 AM
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  • HAL Id : hal-00719203, version 1


Anastasia Bezerianos, Petra Isenberg. Perception of Visual Variables on Tiled Wall-Sized Displays for Information Visualization Applications. IEEE Transactions on Visualization and Computer Graphics, 2012, Proceedings Scientific Visualization / Information Visualization, 18 (12), pp.2516-2525. ⟨hal-00719203⟩



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