Online Privacy Heuristics that Predict Information Disclosure

要旨

Online users' attitudes toward privacy are context-dependent. Studies show that contextual cues are quite influential in motivating users to disclose personal information. Increasingly, these cues are embedded in the interface, but the mechanisms of their effects (e.g., unprofessional design contributing to more disclosure) are not fully understood. We posit that each cue triggers a specific "cognitive heuristic" that provides a rationale for decision-making. Using a national survey (N = 786) that elicited participants' disclosure intentions in common online scenarios, we identify 12 distinct heuristics relevant to privacy, and demonstrate that they are systematically associated with information disclosure. Data show that those with a higher accessibility to a given heuristic are more likely to disclose information. Design implications for protection of online privacy and security are discussed.

キーワード
Information privacy
cognitive heuristics
information disclosure
online decision-making
著者
S. Shyam Sundar
Pennsylvania State University, University Park, PA, USA
Jinyoung Kim
Pennsylvania State University, University Park, PA, USA
Mary Beth Rosson
Pennsylvania State University, University Park, PA, USA
Maria D. Molina
Pennsylvania State University, University Park, PA, USA
DOI

10.1145/3313831.3376854

論文URL

https://doi.org/10.1145/3313831.3376854

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Privacy theory & information disclosure

Paper session
313B O'AHU
5 件の発表
2020-04-30 20:00:00
2020-04-30 21:15:00
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