• DocumentCode
    1312645
  • Title

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

  • Author

    Bezerianos, Anastasia ; Isenberg, Petra

  • Volume
    18
  • Issue
    12
  • fYear
    2012
  • Firstpage
    2516
  • Lastpage
    2525
  • 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.
  • Keywords
    colour displays; colour graphics; computer displays; data visualisation; human factors; visual perception; angles perception; areas perception; distortion effect estimation; free motion; information visualization applications; lengths perception; perception accuracy; perception estimation tasks; static viewpoint; tiled high-resolution wall-sized displays; visual variables perception; visualization design; Data visualization; Information analysis; Navigation; Visual analytics; Information visualization; perception; wall-displays;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2012.251
  • Filename
    6327257