Challenges in designing visual analytics for environmental acoustic monitoring

Dema, Tshering, Brereton, Margot, Roe, Paul, Zhang, Jinglan, & Towsey, Michael (2016) Challenges in designing visual analytics for environmental acoustic monitoring. In DIS'16 Companion, 4 June 2016, Queensland University of Technology, Brisbane, Qld.

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Abstract

The sounds of animals leave remarkable traces of information about their habitat. Ecologists use environmental sound as a proxy to monitor the environment. This has led to the collection of massive sound archives, posing a big data problem of how to investigate it all. Visualization can transform aural information into visual representations summarizing huge datasets, revealing patterns, trends, and relationships in the data. New techniques in interactive visual analysis will enable ecologists to explore and mine for insights about animals and the environment. We envision a synergistic design cycle of discovery and refinement between the user and the system. However, this gives rise to a unique set of design challenges in crafting interactive visual analytic techniques that can cater for large, highly contextual and complex environmental acoustics. This paper presents the key characteristics of big environmental sound data and identifies challenges in designing visual analytics for ecological investigations.

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ID Code: 96774
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1145/2908805.2909402
ISSN: 9781450343152
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 12 Jul 2016 23:17
Last Modified: 18 Jul 2016 02:32

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