“This has to be the cats” - Personal Data Legibility in Networked Sensing Systems

Tolmie, Peter; Crabtree, Andy; Rodden, Tom; Colley, James; Luger, Ewa

Abstract

© 2016 ACM. Notions like 'Big Data' and the 'Internet of Things' turn upon anticipated harvesting of personal data through ubiquitous computing and networked sensing systems. It is largely presumed that understandings of people's everyday interactions will be relatively easy to 'read off' of such data and that this, in turn, poses a privacy threat. An ethnographic study of how people account for sensed data to third parties uncovers serious challenges to such ideas. The study reveals that the legibility of sensor data turns upon various orders of situated reasoning involved in articulating the data and making it accountable. Articulation work is indispensable to personal data sharing and raises real requirements for networked sensing systems premised on the harvesting of personal data.

Citation

Tolmie, P., Crabtree, A., Rodden, T., Colley, J., & Luger, E. (2016, February). “This has to be the cats” - Personal Data Legibility in Networked Sensing Systems. Presented at 19th ACM Conference on Computer Supported Cooperative Work, CSCW, San Francisco, California, USA

• Presentation Conference Type: Edited Proceedings
• Conference Name: 19th ACM Conference on Computer Supported Cooperative Work, CSCW
• Start Date: Feb 27, 2016
• End Date: Mar 2, 2016
• Acceptance Date: Aug 24, 2015
• Online Publication Date: Feb 27, 2016
• Publication Date: Feb 27, 2016
• Deposit Date: Oct 1, 2015
• Publicly Available Date: Feb 27, 2016
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Volume: 2016-Feb
• Pages: 491-502
• Book Title: CSCW '16: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing
• ISBN: 9781450335928
• DOI: https://doi.org/10.1145/2818048.2819992
• Keywords: Networked sensing systems, Personal data, Privacy,Articulation work, Accountability, Ethnography
• Public URL: https://nottingham-repository.worktribe.com/output/775056
• Publisher URL: https://dl.acm.org/doi/10.1145/2818048.2819992
• Additional Information: Definitive version in ACM Digital Library at doi: 10.1145/2818048.2819992
• Contract Date: Oct 1, 2015