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HU Credits:
2
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Psychology
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Gershon Ben-Shakhar, Yoni Pertzov
Coordinator Office Hours:
Thursday 11-12
Teaching Staff:
Prof Gershon Ben-Shakhar,
Prof Yoni Pertzov
Course/Module description:
A critical review of methods and measures for the detection of deception and concealed memories
Course/Module aims:
Knowledge and understanding of the methods via critical thinking
Learning outcomes - On successful completion of this module, students should be able to:
Understanding of the methods and their limitations
Attendance requirements(%):
At least 80%
Teaching arrangement and method of instruction:
Frontal with power point presentations
Course/Module Content:
1) An Introduction to Psychophysiological and behavioral detection of deception (PDD); the basic methods
2) A general review of the measures used in the CIT
3) ERP and fMRI measures in the CIT
4) Meta-Analysis of physiological measures
5) Meta-Analysis of response-time measures
6) Theoretical approaches
7) External Validity of CIT research
8) Limitations of the CIT: Countermeasures and information leakage
9) Eye-tracking measures in the CIT
10) Conceptual and Methodological Considerations
11) Clinical applications of the CIT
12) Searching CIT and CIT Algorithms
Required Reading:
Verschuere et al. (2011). Memory Detection: Theory and Application of the Concealed Information Test. Cambridge University Press.
Additional Reading Material:
55. Klein Selle, N., Verschuere, B., Kindt, M., Meijer, E. & Ben-Shakhar, G. (2017). Unraveling the roles of orienting and inhibition in the Concealed Information Test. Psychophysiology, 54. 628-639.
The promise of eye-tracking in the detection of concealed memories
OC Lancry-Dayan, G Ben-Shakhar, Y Pertzov
Trends in Cognitive Sciences
Grading Scheme :
Essay / Project / Final Assignment / Home Exam / Referat 90 %
Attendance / Participation in Field Excursion 10 %
Additional information:
Active participation (10%) and final paper (90%)
Presentation will be uploaded to the course site.
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