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The communication of data uncertainty is a crucial problem in data science, information visualization, and geographic information science (GIScience). Effective ways to communicate the uncertainty of data enables data consumers to interpret the data as intended by the producer, reducing the possibilities of misinterpretation. In this article, we report on an empirical investigation of how sound can be used to convey information about data uncertainty in an intuitive way. To answer the research question How intuitive are sound dimensions to communicate uncertainty?, we carry out a cognitive experiment, where participants were asked to interpret the certainty/uncertainty level in two sounds A and B (N=33). We produce sound stimuli by varying sound dimensions, including loudness, duration, location, pitch, register, attack, decay, rate of change, noise, timbre, clarity, order, and harmony.
Keywords:
sonification; uncertainty; aural cognition; sound variables; communication
A. Ballatore, D. Gordon, & A. Boone (2018) Sonifying data uncertainty with sound dimensions. Cartography and Geographic Information Science, in press.
Andrea Ballatore (Birkbeck, University of London)
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