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When Eye-tracking Meets Cognitive Modeling: Applications to Cyber Security Systems

Yuan, Haiyue, Li, Shujun, Rusconi, Patrice and Aljffan, N (2017) When Eye-tracking Meets Cognitive Modeling: Applications to Cyber Security Systems In: Human Aspects of Information Security, Privacy and Trust: 5th International Conference, HAS 2017; part of HCI International 2017, 2017-07-09 - 2017-07-14, Vancouver, Canada.

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Abstract

Human cognitive modeling techniques and related software tools have been widely used by researchers and practitioners to evalu- ate the e ectiveness of user interface (UI) designs and related human performance. However, they are rarely used in the cyber security eld despite the fact that human factors have been recognized as a key ele- ment for cyber security systems. For a cyber security system involving a relatively complicated UI, it could be di cult to build a cognitive model that accurately captures the di erent cognitive tasks involved in all user interactions. Using a moderately complicated user authentication system as an example system and CogTool as a typical cognitive modeling tool, this paper aims to provide insights into the use of eye-tracking data for facilitating human cognitive modeling of cognitive tasks more e ectively and accurately.We used visual scan paths extracted from an eye-tracking user study to facilitate the design of cognitive modeling tasks. This al- lowed us to reproduce some insecure human behavioral patterns observed in some previous lab-based user studies on the same system, and more importantly, we also found some unexpected new results about human behavior. The comparison between human cognitive models with and without eye-tracking data suggests that eye-tracking data can provide useful information to facilitate the process of human cognitive modeling as well as to achieve a better understanding of security-related human behaviors. In addition, our results demonstrated that cyber security re- search can bene t from a combination of eye-tracking and cognitive mod- eling to study human behavior related security problems.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Computer Science
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
NameEmailORCID
Yuan, Haiyuehaiyue.yuan@surrey.ac.ukUNSPECIFIED
Li, Shujunshujun.li@surrey.ac.ukUNSPECIFIED
Rusconi, Patricep.rusconi@surrey.ac.ukUNSPECIFIED
Aljffan, NUNSPECIFIEDUNSPECIFIED
Date : 5 October 2017
Copyright Disclaimer : Copyright Springer 2017. The final publication is available at link.springer.com
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDSpringer, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Eye-tracking, cognitive modeling, CogTool, user interface, design, cyber security, human behavior, user authentication
Related URLs :
Additional Information : Haiyue Yuan, Shujun Li, Patrice Rusconi and Nouf Aljaffan, "When Eye-tracking Meets Cognitive Modeling: Applications to Cyber Security Systems," in Human Aspects of Information Security, Privacy and Trust: 5th International Conference, HAS 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Lecture Notes in Computer Science, vol. 10292, pp. 251-264, 2017
Depositing User : Symplectic Elements
Date Deposited : 03 Mar 2017 14:28
Last Modified : 29 Aug 2017 14:35
URI: http://epubs.surrey.ac.uk/id/eprint/813689

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