Proceedings: GI 2003

A Comparison of Traditional and Fisheye Radar View Techniques for Spatial Collaboration

Wendy Schafer , Doug Bowman

Proceedings of Graphics Interface 2003: Halifax, Nova Scotia, Canada, 11 - 13 June 2003, 39-46

DOI 10.20380/GI2003.05

  • BibTeXex

    @inproceedings@inproceedings{Schafer:gi2003:ACT,
     title = {A Comparison of Traditional and Fisheye Radar View Techniques for Spatial Collaboration},
     author = {Wendy A. Schafer and Doug A. Bowman},
     booktitle = {Proceedings of the Graphics Interface 2003 Conference, June 11-13, 2003, Halifax, Nova Scotia, Canada},
     organization = {CIPS, Canadian Human-Computer Communication Society},
     publisher = {Canadian Human-Computer Communications Society and A K Peters Ltd.},
     issn = {0713-5424},
     isbn = {1-56881-207-8},
     location = {Halifax, Nova Scotia},
     url = {http://graphicsinterface.org/wp-content/uploads/gi2003-5.pdf},
     year = {2003},
     month = {June},
     pages = {39--46}
    }
    

Abstract

Interactive fisheye views use distortion to show both local detail and global context in the same display space. Although fisheyes allow the presentation and inspection of large data sets, the distortion effects can cause problems for users. One such problem is memorability - the ability to find and go back to objects and features in the data. In this paper we investigate the issue of how people remember object locations in distorted spaces, using a Sarkar-Brown fisheye lens that drastically affects the space. We carried out two studies. The first gathered information about what memory strategies people choose at increasing levels of distortion, without presupposing any particular strategy. The second looked more closely at how two particular strategies (maintaining a mental map, and using landmarks in the data) affected memory performance. We found that as distortion increases, people do use different memory strategies and that at higher levels of distortion, landmarks become increasingly important as memory aids.