TY - GEN
T1 - Unlocking the Privacy Paradox
T2 - 31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013
AU - Sundar, S. Shyam
AU - Kang, Hyunjin
AU - Zhang, Bo
AU - Go, Eun
AU - Wu, Mu
N1 - Funding Information:
The first author was supported in this research by a grant from the World-Class University program (R31-2008-000-10062-0) of the Korean Ministry of Education, Science and Technology, awarded to the Department of Interaction Science, Sungkyunkwan University, Seoul, where he serves as a visiting professor. All other authors were supported by Summer Research Grants awarded by the College of Communications at Penn State University.
PY - 2013/4/27
Y1 - 2013/4/27
N2 - Even though users have become increasingly concerned about their privacy online, they continue to disclose deeply personal information in a number of online venues, including e-commerce portals and social networking sites. Scholars have tried to explain this inconsistency between attitudes and behavior by suggesting that online users consciously weigh the trade-off between the costs and benefits of online information disclosure. We argue that online user behaviors are not always rational, but may occur due to expedient decision-making in the heat of the moment. Such decisions are based on cognitive heuristics (i.e., rules of thumb) rather than on a careful analysis of each transaction. Based on this premise, we seek to identify the specific triggers for disclosure of private information online. In the experiment reported here, we explore the operation of two specific heuristics—benefit and fuzzy boundary—in influencing privacy-related attitudes and behaviors. Theoretical and design implications are discussed.
AB - Even though users have become increasingly concerned about their privacy online, they continue to disclose deeply personal information in a number of online venues, including e-commerce portals and social networking sites. Scholars have tried to explain this inconsistency between attitudes and behavior by suggesting that online users consciously weigh the trade-off between the costs and benefits of online information disclosure. We argue that online user behaviors are not always rational, but may occur due to expedient decision-making in the heat of the moment. Such decisions are based on cognitive heuristics (i.e., rules of thumb) rather than on a careful analysis of each transaction. Based on this premise, we seek to identify the specific triggers for disclosure of private information online. In the experiment reported here, we explore the operation of two specific heuristics—benefit and fuzzy boundary—in influencing privacy-related attitudes and behaviors. Theoretical and design implications are discussed.
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U2 - 10.1145/2468356.2468501
DO - 10.1145/2468356.2468501
M3 - Conference contribution
AN - SCOPUS:85040731106
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 811
EP - 816
BT - CHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems
A2 - Beaudouin-Lafon, Michel
A2 - Baudisch, Patrick
A2 - Mackay, Wendy E.
PB - Association for Computing Machinery
Y2 - 27 April 2013 through 2 May 2013
ER -