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Improving Security Behavior Through Better Security Message Comprehension: fMRI and Eye-Tracking Insights

In: Information Systems and Neuroscience

Author

Listed:
  • Anthony Vance

    (Temple University)

  • Jeffrey L. Jenkins

    (Brigham Young University)

  • Bonnie Brinton Anderson

    (Brigham Young University)

  • C. Brock Kirwan

    (Brigham Young University)

  • Daniel Bjornn

    (Brigham Young University)

Abstract

Security warnings are critical to help users make contextual security decisions. Unfortunately, users find these warnings hard to understand, and they routinely expose themselves to unintended risks as a result. Although it is straightforward to determine when users fail to understand a warning, it is more difficult to pinpoint why this happens. The goal of this research is to use eye tracking and fMRI to step through the building blocks of comprehension—attention, semantics, syntax, and pragmatics—for SSL and other common security warnings. Through this process, we will identify ways to design security warnings to be more easily understood.

Suggested Citation

  • Anthony Vance & Jeffrey L. Jenkins & Bonnie Brinton Anderson & C. Brock Kirwan & Daniel Bjornn, 2019. "Improving Security Behavior Through Better Security Message Comprehension: fMRI and Eye-Tracking Insights," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 11-17, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-01087-4_2
    DOI: 10.1007/978-3-030-01087-4_2
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