Auditory graph evolution by the example of spurious correlations
Author(s)
Zeller, Bernhard
Vogt, Katharina
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Abstract
Auditory graphs can be seen as an alternative to visual graphs
or as an additional element to display data. This paper will
offer an approach on how a simple sound mapping can be
improved into a mental model. The ironic nature of the
chosen dataset is reflected in the sound enhancing the data
visualization.
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Date
2015-07
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Text
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Proceedings
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License..