Interface design elements for anti-phishing systems

Authors:
Yan Chen;Fatemeh Zahedi;Ahmed Abbasi
Affiliations:
Sheldon B Lubar School of Business, University of Wisconsin-Milwaukee, Milwaukee, WI;Sheldon B Lubar School of Business, University of Wisconsin-Milwaukee, Milwaukee, WI;Sheldon B Lubar School of Business, University of Wisconsin-Milwaukee, Milwaukee, WI
Venue:
DESRIST'11 Proceedings of the 6th international conference on Service-oriented perspectives in design science research
Year:
2011

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Abstract

Anti-phishing systems are developed to prevent users from interacting with fraudulent websites. However these tools are ineffective since users often disregard their warnings. We present a design science-based assessment of interface design elements for such systems. An extensive taxonomy of important design elements is constructed. A survey is used to evaluate the perceived saliency of various elements encompassed in the taxonomy. The results suggest preferred design elements are in line with efficient information processing of human vision, and indicate that existing tools often fail to consider users' preferences regarding warning design alternatives. The results of users' preference also show the presence of a subset of design elements that could potentially be customized for the population of our sample and others that could be personalized. These findings are being applied in an NSF-supported project, in which we evaluate the impact of customized and personalized warnings on user performance.