A Roadmap for Applying the Contextual Integrity Framework in Qualitative Privacy Research

Document Type

Conference Proceeding

Publication Date

4-2024

Publisher

Association for Computing Machinery (ACM)

Source Publication

Proceedings of the ACM on Human-Computer Interaction

Source ISSN

2573-0142

Original Item ID

DOI: 10.1145/3653710

Abstract

Privacy is an important topic in HCI and social computing research, and the theory of contextual integrity (CI) is increasingly used to understand how sociotechnical systems-and the new kinds of information flows they introduce-can violate privacy. In empirical research, CI can serve as a conceptual framework for explaining the contextual nature of privacy as well as an analytical framework for evaluating privacy attitudes and behaviors. Analytical applications of CI in HCI primarily employ quantitative methods to identify appropriate information flows but rarely engage with the full CI framework to evaluate such flows. In this paper, we present a roadmap to guide HCI and social computing researchers on how to apply the full CI framework to qualitative projects. To help researchers envision what such an analysis can look like, each step includes an example analysis using interview data from projects on privacy and fitness tracking. We conclude by discussing how harnessing the full CI framework can address critiques of CI and identify opportunities for further theory development.

Comments

Proceedings of the ACM on Human-Computer Interaction, Vol. 8 (2024). DOI.

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