Listening to the forest and its curators: lessons learnt from a bioacoustic smartphone application deployment

Moran, Stuart; Pantidi, Nadia; Rodden, Tom; Chamberlain, Alan; Griffiths, Chloe; Zilli, Davide; Merrett, Geoff

Abstract

Our natural environment is complex and sensitive, and is home to a number of species on the verge of extinction. Surveying is one approach to their preservation, and can be supported by technology. This paper presents the deployment of a smartphone-based citizen science biodiversity application. Our findings from interviews with members of the biodiversity community revealed a tension between the technology and their established working practices. From our experience, we present a series of general guidelines for those designing citizen science apps

Full Citation
Moran, Stuart, Pantidi, Nadia, Rodden, Tom, Chamberlain, Alan, Griffiths, Chloe, Zilli, Davide, Merrett, Geoff V. and Rogers, Alex (2014) Listening to the forest and its curators: lessons learnt from a bioacoustic smartphone application deployment. In, ACM CHI Conference on Human Factors in Computing Systems, Toronto, CA, 26 Apr - 01 May 2014. (doi:10.1145/2556288.255702).

Citation

Moran, S., Pantidi, N., Rodden, T., Chamberlain, A., Griffiths, C., Zilli, D., & Merrett, G. (2014). Listening to the forest and its curators: lessons learnt from a bioacoustic smartphone application deployment. . https://doi.org/10.1145/2556288.2557022

• Conference Name: CHI 2014: SIGCHI Conference on Human Factors in Computing Systems
• End Date: Apr 1, 2014
• Acceptance Date: Apr 26, 2014
• Publication Date: Apr 1, 2014
• Deposit Date: Oct 7, 2016
• Publicly Available Date: Oct 7, 2016
• Journal: ACM CHI Conference on Human Factors in Computing Systems
• Electronic ISSN: ISBN: 978-1-4503-2473-1
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1145/2556288.2557022
• Keywords: Citizen Science, Audio, HCI, CSCW, Etymology, Design, Software Design, Interaction, Evaluation, In the Wild, Crowd Sourcing, Science, Nature, Wildlife, Ecology, Environment, Technology, IT, Agents, AI
• Public URL: https://nottingham-repository.worktribe.com/output/723888
• Publisher URL: http://dl.acm.org/citation.cfm?doid=2556288.2557022
• Additional Information: Published in: CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; Pages 2387-2396 ACM : New York, ©2014.; ISBN: 9781450324731. DOI: 10.1145/2556288.2557022