Visual analysis sessions are increasingly conducted in multi-display environments. However, presenting a data set simultaneously on heterogenous displays to users is a challenging task. In this paper we propose a two-step mapping strategy to address this problem. The first mapping step applies primary mapping functions to generate the same basic layout for all output devices and adapts the object size based on the display characteristic to guarantee the visibility of all elements. The second mapping step introduces additional visual cues to enhance the effectiveness of the visual encoding for different output devices. To demonstrate the Two-Step-Mapping we apply this concept to scatter plots presenting cluster data. © 2011 Springer-Verlag.
CITATION STYLE
Radloff, A., Luboschik, M., Sips, M., & Schumann, H. (2011). Supporting display scalability by redundant mapping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6938 LNCS, pp. 472–483). https://doi.org/10.1007/978-3-642-24028-7_44
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