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Issue No.03 - July-September (2010 vol.9)
pp: 64-71
Michael Massimi , University of Toronto
Khai N. Truong , University of Toronto
David Dearman , University of Toronto
Gillian R. Hayes , University of California, Irvine
Electronic recording and surveillance systems are arguably some of the most pervasive technologies in the world today. Despite this rapid proliferation and their study by many researchers, there is still work to be done in understanding how people reason about these technologies when they encounter them. In this article, the authors describe attitudes, perceptions, and concerns regarding electronic recording encountered in daily activities. They present data gathered from interviews grounded in real experiences that form the basis of a discussion for how people develop mental models about the intent and uses of a broad scope of recording technologies embedded in the world. Individual constructions of reality about current recording systems, including the people, places, and activities that surround them, provide insight into how design, technology, and policy can work together to provide appropriate information about the existence and uses of recording devices. These insights can lead to usable systems that allow individual users to make informed personal decisions
tracking and recording technologies, day reconstruction method, conceptual model, privacy
Michael Massimi, Khai N. Truong, David Dearman, Gillian R. Hayes, "Understanding Recording Technologies in Everyday Life", IEEE Pervasive Computing, vol.9, no. 3, pp. 64-71, July-September 2010, doi:10.1109/MPRV.2009.89
1. D. Solove, The Digital Person: Technology and Privacy in the Information Age, NYU Press, 2004, p. 290.
2. J.Q. Anderson, "The Future of the Internet II," Pew Internet and American Life Project, Sept. 2006; .
3. J. Dixon, M. Levine, and R. McAuley, "Street Drinking Legislation, CCTV, and Public Space: Exploring Attitudes towards Public Order Measures," Mar. 2007; .
4. D. Kahneman et al., "A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method," Science, vol. 306, no. 5702, 2004, pp. 1776–1780.
5. G.R. Hayes et al., "Physical, Social, and Experiential Knowledge of Privacy and Security in a Pervasive Computing Environment," IEEE Pervasive Computing, vol. 6, no. 4, 2007, pp. 56–63.
6. S. Wiggins et al., "The Psychological Consequences of Predictive Testing for Huntington's Disease," New England J. Medicine, vol. 327, no. 20, 1992, pp. 1401–1405.
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