Title
Online Privacy Heuristics that Predict Information Disclosure
Abstract
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.
Year
DOI
Venue
2020
10.1145/3313831.3376854
CHI '20: CHI Conference on Human Factors in Computing Systems Honolulu HI USA April, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-6708-0
1
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
S. Shyam Sundar1409.37
Jin Young Kim249781.76
Mary Beth Rosson34350613.74
Maria D. Molina412.37