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Rendering Effective Route Maps: Improving Usability Through Generalization

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by Maneesh Agrawala , Chris Stolte
Citations:156 - 8 self
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BibTeX

@MISC{Agrawala_renderingeffective,
    author = {Maneesh Agrawala and Chris Stolte},
    title = {Rendering Effective Route Maps: Improving Usability Through Generalization},
    year = {}
}

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Abstract

Route maps, which depict a path from one location to another, have emerged as one of the most popular applications on the Web. Current computer-generated route maps, however, are often very difficult to use. In this paper we present a set of cartographic generalization techniques specifically designed to improve the usability of route maps. Our generalization techniques are based both on cognitive psychology research studying how route maps are used and on an analysis of the generalizations commonly found in handdrawn route maps. We describe algorithmic implementations of these generalization techniques within BeeLine, a real-time system for automatically designing and rendering route maps. We show that Bee-Line produces route maps that are much more usable than those produced by current computer-based route map rendering systems. Feedback from over 1100 users indicates that over 99 % believe BeeLine maps are preferable to using standard computer-generated route maps alone.

Keyphrases

route map    improving usability    effective route map    generalization technique    current computer-generated route map    popular application    algorithmic implementation    current computer-based route map    cognitive psychology research    standard computer-generated route map    believe beeline map    real-time system    handdrawn route map    cartographic generalization technique   

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