Keywords and Phrases
Cognition; Data Mining; Deception Detection; Eye Tracking; IMotion Attention Tool; Visual Behavior
"This research presents the analysis of data collected using eye-tracking devices on user interaction with a deception detection system. The differences between two groups of subjects, namely Innocent and Guilty, were compared, where Innocent subjects did not carry any explosive and hence, had nothing to hide in declaring objects that they were carrying whereas Guilty subjects had to lie to deceive the system. The results indicate that there is no significant difference in pupil dilation between the Innocent and Guilty subjects. However, the amount of fixations on the empty spaces of slides containing an explosive image can be used to identify Innocent versus Guilty subjects where subjects in the Guilty condition were more likely than subjects in the Innocent condition to focus on the empty spaces between the images of objects on those slides"--Abstract, page iii.
Nah, Fiona Fui-Hoon, 1966-
Siau, Keng, 1964-
Twyman, Nathan W.
Hilgers, Michael Gene
Business and Information Technology
M.S. in Information Science and Technology
Missouri University of Science and Technology
vii, 38 pages
© 2016 Prashanth Kumar Lakkapragada
Thesis - Open Access
Eye -- Movements -- Psychological aspects
Human-computer interaction -- Case studies
Lie detectors and detection
Optical pattern recognition
Electronic OCLC #
Lakkapragada, Prashanth Kumar, "Using eye-tracking to understand user behavior in deception detection system interaction" (2016). Masters Theses. 7605.