Improving warning messages adherence: can Maya Security Bot advisor help?
Journal
Security Journal
ISSN
0955-1662
Type
journal article
Date Issued
2019-06-18
Author(s)
Abstract
Despite several different methods that have been suggested to improve users’ adherence to warning messages, users are still left alone in their decision-making process and have to deal with possible negative consequences of their decisions. To improve warning message adherence and to help users make a more informed decision, supported by the social facilitation theory and following design-driven approach, we implemented a real-time security bot advisor Maya. We conducted an online experiment with 312 users. The results suggest significant improvement in the warning adherence (from 38 to 61%) with the highest effect on older users. We demonstrated that the security bot advisor can be of a great help in influencing a user’s decision-making process. We suggest several ways that our findings can be used by warning designers and provide new directions for future research.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Refereed
Yes
Publisher
Palgrave Macmillan
Subject(s)
Division(s)
Eprints ID
257193
File(s)![Thumbnail Image]()
Name
Manuscript.pdf
Size
594.17 KB
Format
Adobe PDF
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