An Assessment of Users' Cyber Security Risk Tolerance in Reward-Based Exchange
This study examines users' risk-taking behavior in software downloads. We are interested in quantifying the degree of risks that users are willing to take in the cyber security context. We propose conducting an experiment using Amazon's Mechanical Turk to assess the degree of risks that people are willing to take for monetary gains when they download software from uncertified sources.
Zhan, X., Nah, F. F., & Cheng, M. X. (2018). An Assessment of Users' Cyber Security Risk Tolerance in Reward-Based Exchange. Lecture Notes in Computer Science, 10923, pp. 431-441. Springer Verlag.
The definitive version is available at https://doi.org/10.1007/978-3-319-91716-0_34
5th International Conference on HCI in Business, Government, and Organizations, HCIBFO 2018 (2018: Jul. 15-20, Las Vegas, NV)
Business and Information Technology
Keywords and Phrases
Behavioral research; Decision making; Human engineering; Risk management; Risks; Cyber security; Degree of risks; Mechanical turks; Risk-taking behaviors; Software downloads; Risk assessment; Cyber security; Decision-making; Human factors; Risk
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
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01 Jul 2018