Paper
3 May 2001 Visual-spatial exploration of thematic spaces: a comparative study of three visualization models
Timothy Cribbin, Chaomei Chen
Author Affiliations +
Proceedings Volume 4302, Visual Data Exploration and Analysis VIII; (2001) https://doi.org/10.1117/12.424929
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
Scatter graphs are a popular medium for visualizing spatial- semantic structures derived from abstract information spaces. For small spaces such graphs can be an effective means of reducing high-dimensional information into two or three spatial dimensions. As dimensionally increases, representing the thematic diversity of documents using spatial proximity alone becomes less and less effective. This paper reports an experiment designed to determine whether, for larger spaces, benefits are to be gained from adding visual links between document nodes as an additional means of representing the most important semantic relationships. Two well known algorithms, minimum spanning trees (MST) and pathfinder associative networks (PFNET), were tested against both a scatter graph visualization, derived from factor analysis, and a traditional list-based hypertext interface. It was hypothesized that visual links would facilitate users' comprehension of the information space with corresponding gains in information space with corresponding gains in information seeking performance. Navigation performance and user impression were analyzed across a range of different search tasks. Results indicate both significant performance gains and more positive user feedback for MST and PFNET visualizations over scatter graphs. Performance on all visualizations was generally poorer and never better than that achieved on the text list interface although the magnitude of these differences was found to be highly task dependent.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy Cribbin and Chaomei Chen "Visual-spatial exploration of thematic spaces: a comparative study of three visualization models", Proc. SPIE 4302, Visual Data Exploration and Analysis VIII, (3 May 2001); https://doi.org/10.1117/12.424929
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Cited by 10 scholarly publications.
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KEYWORDS
Visualization

Principal component analysis

Human-machine interfaces

Information visualization

Picosecond phenomena

Algorithm development

Visual process modeling

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