Collaborative Exploration and Sensemaking of Big Environmental Sound Data View Full Text


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Article Info

DATE

2017-05-31

AUTHORS

Tshering Dema, Margot Brereton, Jessica L. Cappadonna, Paul Roe, Anthony Truskinger, Jinglan Zhang

ABSTRACT

Many ecologists are using acoustic monitoring to study animals and the health of ecosystems. Technological advances mean acoustic recording of nature can now be done at a relatively low cost, with minimal disturbance, and over long periods of time. Vast amounts of data are gathered yielding environmental soundscapes which requires new forms of visualization and interpretation of the data. Recently a novel visualization technique has been designed that represents soundscapes using dense visual summaries of acoustic patterns. However, little is known about how this visualization tool can be employed to make sense of soundscapes. Understanding how the technique can be best used and developed requires collaboration between interface, algorithm designers and ecologists. We empirically investigated the practices and needs of ecologists using acoustic monitoring technologies. In particular, we investigated the use of the soundscape visualization tool by teams of ecologists researching endangered species detection, species behaviour, and monitoring of ecological areas using long duration audio recordings. Our findings highlight the opportunities and challenges that ecologists face in making sense of large acoustic datasets through patterns of acoustic events. We reveal the characteristic processes for collaboratively generating situated accounts of natural places from soundscapes using visualization. We also discuss the biases inherent in the approach. Big data from nature has different characteristics from social and informational data sources that comprise much of the World Wide Web. We conclude with design implications for visual interfaces to facilitate collaborative exploration and discovery through soundscapes. More... »

PAGES

693-731

References to SciGraph publications

  • 2014-04-06. Requirements for Big Data Analytics Supporting Decision Making: A Sensemaking Perspective in MASTERING DATA-INTENSIVE COLLABORATION AND DECISION MAKING
  • 2015-07-29. Collaborative Visualization for Supporting the Analysis of Mobile Device Data in ECSCW 2015: PROCEEDINGS OF THE 14TH EUROPEAN CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK, 19-23 SEPTEMBER 2015, OSLO, NORWAY
  • 2015-04-01. Global effects of land use on local terrestrial biodiversity in NATURE
  • 2016-08-23. Sixteen years of change in the global terrestrial human footprint and implications for biodiversity conservation in NATURE COMMUNICATIONS
  • 2013. An Exploratory Study of Sensemaking in Collaborative Information Seeking in ADVANCES IN INFORMATION RETRIEVAL
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10606-017-9286-9

    DOI

    http://dx.doi.org/10.1007/s10606-017-9286-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1085730245


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