• DocumentCode
    53342
  • Title

    Evaluation of Static and Dynamic Visualization Training Approaches for Users with Different Spatial Abilities

  • Author

    Froese, Maria-Elena ; Tory, Melanie ; Evans, Guy-Warwick ; Shrikhande, Kedar

  • Volume
    19
  • Issue
    12
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    2810
  • Lastpage
    2817
  • Abstract
    Conflicting results are reported in the literature on whether dynamic visualizations are more effective than static visualizations for learning and mastering 3-D tasks, and only a few investigations have considered the influence of the spatial abilities of the learners. In a study with 117 participants, we compared the benefit of static vs. dynamic visualization training tools on learners with different spatial abilities performing a typical 3-D task (specifically, creating orthographic projections of a 3-D object). We measured the spatial abilities of the participants using the Mental Rotation Test (MRT) and classified participants into two groups (high and low abilities) to examine how the participants´ abilities predicted change in performance after training with static versus dynamic training tools. Our results indicate that: 1) visualization training programs can help learners to improve 3-D task performance, 2) dynamic visualizations provide no advantages over static visualizations that show intermediate steps, 3) training programs are more beneficial for individuals with low spatial abilities than for individuals with high spatial abilities, and 4) training individuals with high spatial abilities using dynamic visualizations provides little benefit.
  • Keywords
    computer based training; data visualisation; 3D object orthographic projection; 3D task learning; 3D task mastering; MRT; dynamic visualization training approach; mental rotation test; static visualization training approach; user spatial abilities; visualization training programs; Animation; Atmospheric measurements; Design automation; Optimized production technology; Particle measurements; Spatial resolution; 3D visualization; Animation; Atmospheric measurements; CAD.; Design automation; Optimized production technology; Particle measurements; Spatial ability; Spatial resolution; evaluation; orthographic projection; training; Algorithms; Computer Graphics; Computer-Aided Design; Computer-Assisted Instruction; Humans; Imaging, Three-Dimensional; Reproducibility of Results; Sensitivity and Specificity; Space Perception; Task Performance and Analysis; User-Computer Interface; Vision Tests;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2013.156
  • Filename
    6634097