andrea-ballatore / sonification-uncertainty

This data is related to a study on 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.

Sonification of Uncertainty

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Abstract

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

Datasets

Cite as

A. Ballatore, D. Gordon, & A. Boone (2018) Sonifying data uncertainty with sound dimensions. Cartography and Geographic Information Science, in press.

Maintainer

Andrea Ballatore (Birkbeck, University of London)

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.