Virtual birding : extending an environmental pastime into the virtual world for citizen science


Autoria(s): Cottman-Fields, Mark; Brereton, Margot; Roe, Paul
Data(s)

2013

Resumo

This paper investigates engaging experienced birders, as volunteer citizen scientists, to analyze large recorded audio datasets gathered through environmental acoustic monitoring. Although audio data is straightforward to gather, automated analysis remains a challenging task; the existing expertise, local knowledge and motivation of the birder community can complement computational approaches and provide distinct benefits. We explored both the culture and practice of birders, and paradigms for interacting with recorded audio data. A variety of candidate design elements were tested with birders. This study contributes an understanding of how virtual interactions and practices can be developed to complement existing practices of experienced birders in the physical world. In so doing this study contributes a new approach to engagement in e-science. Whereas most citizen science projects task lay participants with discrete real world or artificial activities, sometimes using extrinsic motivators, this approach builds on existing intrinsically satisfying practices.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/61202/

Publicador

Association for Computing Machinery

Relação

http://eprints.qut.edu.au/61202/3/61202.pdf

http://dl.acm.org/citation.cfm?doid=2470654.2466268

DOI:10.1145/2470654.2466268

Cottman-Fields, Mark, Brereton, Margot, & Roe, Paul (2013) Virtual birding : extending an environmental pastime into the virtual world for citizen science. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, Paris, France, pp. 2029-2032.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #080602 Computer-Human Interaction #Citizen science #birder #bird watching #bioacoustics #domain-specific expertise #biodiversity monitoring
Tipo

Conference Paper