Abstract
It is often said that the eyes are the windows to the soul. If that is true, then it may also be inferred that looking at web users’ eye movements could potentially reflect what they are actually thinking when they view websites. In this paper, we conduct a set of experiments to analyze whether user intention in relation to assessing the credibility of a website can be extracted from eye movements. In our within-subject experiments, the participants determined whether twenty websites seemed to be phishing websites or not. We captured their eye movements and tried to extract intention from the number and duration of eye fixations. Our results demonstrated the possibility to estimate a web user’s intention when making a trust decision, solely based on the user’s eye movement analysis.
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Acknowledgment
This research has been supported by the Strategic International Collaborative R&D Promotion Project of the Ministry of Internal Affairs and Communication, Japan, and by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 608533 (NECOMA). The opinions expressed in this paper are those of the authors and do not necessarily reflect the views of the Ministry of Internal Affairs and Communications, Japan, or of the European Commission.
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Miyamoto, D., Blanc, G., Kadobayashi, Y. (2015). Eye Can Tell: On the Correlation Between Eye Movement and Phishing Identification. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9491. Springer, Cham. https://doi.org/10.1007/978-3-319-26555-1_26
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DOI: https://doi.org/10.1007/978-3-319-26555-1_26
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