Change search
ReferencesLink to record
Permanent link

Direct link
The Mismeasurement of Privacy: Using Contextual Integrity to Reconsider Privacy in HCI
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2012 (English)In: CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York: Association for Computing Machinery (ACM), 2012, 367-376 p.Conference paper (Refereed)
Abstract [en]

Privacy is a widely studied concept in relation to social computing and sensor-based technologies; scores of research papers have investigated people’s ‘privacy preferences’ and apparent reluctance to share personal data. In this paper we explore how Ubicomp and HCI studies have approached the notion of privacy, often as a quantifiable concept. Leaning on several theoretical frameworks, but in particular Nissenbaum’s notion of contextual integrity, we question the viability of obtaining universal answers in terms of people’s ‘general’ privacy practices and apply elements of Nissenbaum’s theory to our own data in order to illustrate its relevance. We then suggest restructuring inquiries into information sharing in studies of state-of-the-art technologies and analyze contextually grounded issues using a different, more specific vocabulary. Finally, we provide the first building blocks to such vocabulary.

Place, publisher, year, edition, pages
New York: Association for Computing Machinery (ACM), 2012. 367-376 p.
Keyword [en]
Privacy, user studies, location-based services, ubiquitous computing, online social networks
National Category
Information Systems
Research subject
Man-Machine-Interaction (MMI)
URN: urn:nbn:se:su:diva-85445DOI: 10.1145/2207676.2207727ISBN: 978-1-4503-1015-4OAI: diva2:583706
CHI 2012, May 5–10, 2012, Austin, Texas, USA
Available from: 2013-01-08 Created: 2013-01-08 Last updated: 2013-01-29Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Barkhuus, Louise
By organisation
Department of Computer and Systems Sciences
Information Systems

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 24 hits
ReferencesLink to record
Permanent link

Direct link