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Individual differences in exploration using desktop VR

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  • David Modjeska
  • Mark Chignell

Abstract

With advances in computer graphics, a number of innovative approaches to information visualization have been developed (e.g., Card et al, 1991). Some of these approaches create a mapping between information and corresponding structure in a virtual world. The resulting virtual worlds can be fully three dimensional (3D) or they can be implemented as a series of 2D birds‐eye “snapshots” that are traversed as if they were in 3D, using operations such as panning and zooming interactively (2.5D). This paper reports a study that contrasted 3D and 2.5D performance for people with differing levels of spatial and structure learning ability. Four data collection methods were employed: search task scoring; subjective questionnaires; navigational activity logging and analysis; and administration of tests for spatial and structure‐learning abilities. Analysis of the results revealed statistically significant effects of user abilities, and information environment designs. Overall, this research did not find a performance advantage for using a 3D rather than a 2.5D virtual world. In addition, users in the lowest quartile of spatial ability had significantly lower search performance in the 3D environment. The findings suggest that individual differences in traits such as spatial ability may be important in determining the usability and acceptability of 3D environments.

Suggested Citation

  • David Modjeska & Mark Chignell, 2003. "Individual differences in exploration using desktop VR," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(3), pages 216-228, February.
  • Handle: RePEc:bla:jamist:v:54:y:2003:i:3:p:216-228
    DOI: 10.1002/asi.10197
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    Cited by:

    1. Kyong Eun Oh & Daniel Halpern & Marilyn Tremaine & James Chiang & Deborah Silver & Karen Bemis, 2016. "Blocked: When the information is hidden by the visualization," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1033-1051, May.

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