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

Anthony Vance (), Jeffrey L. Jenkins (), Bonnie Brinton Anderson (), C. Brock Kirwan () and Daniel Bjornn ()
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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

A chapter in Information Systems and Neuroscience, 2019, pp 11-17 from Springer

Abstract: 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.

Keywords: NeuroIS; Eye-tracking; fMRI; Comprehension; Security messages (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-01087-4_2

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DOI: 10.1007/978-3-030-01087-4_2

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