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Tolmie, Peter; Crabtree, Andy; Rodden, Tom; Colley, James; Luger, Ewa (2016)
Languages: English
Types: Unknown
Subjects:
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • 17. Eric Siegel (2013) Predictive Analytics: The Power to Predict Who will Click, Buy, Lie or Die, Wiley.
    • 18. Anselm Strauss (1985) “Work and the division of labour”, The Sociological Quarterly, vol. 26 (1), pp. 1- 19.
    • 19. Peter Tolmie, Andy Crabtree, Stefan Egglestone, Jan Humble, Chris Greenhalgh and Tom Rodden (2010) “Digital plumbing: the mundane work of deploying ubicomp in the home”, Personal and Ubiquitous Computing, vol. 14 (3), pp. 181-196.
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