Masters Theses

Keywords and Phrases

Cognition; Data Mining; Deception Detection; Eye Tracking; IMotion Attention Tool; Visual Behavior

Abstract

"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.

Advisor(s)

Nah, Fiona Fui-Hoon, 1966-

Committee Member(s)

Siau, Keng, 1964-
Twyman, Nathan W.
Hilgers, Michael Gene

Department(s)

Business and Information Technology

Degree Name

M.S. in Information Science and Technology

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2016

Pagination

vii, 38 pages

Note about bibliography

Includes bibliographical references (pages 35-37).

Rights

© 2016 Prashanth Kumar Lakkapragada

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Eye -- Movements -- Psychological aspectsHuman-computer interaction -- Case studiesLie detectors and detectionData miningOptical pattern recognition

Thesis Number

T 11035

Electronic OCLC #

974715857

Download

Share

 
COinS