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A Systems Approach to Countermeasures in Credibility Assessment Interviews
Information Systems and Quantitative Analysis Faculty Proceedings & Presentations
  • Nathan Twyman, University of Arizona
  • Ryan M. Schuetzler, University of Nebraska at Omaha
  • Jeffrey Gainer Proudfoot, University of Arizona
  • Aaron Elkins, University of Arizona
Document Type
Conference Proceeding
Publication Date

Countermeasures, or techniques for hiding guilt during a credibility assessment examination, have long been an important topic in cognitive psychology and criminal justice fields. With recent IS research on automated screening systems, understanding the potential for countermeasures in this new paradigm is of increasing importance. This paper reports on a large experiment examining countermeasures in an automated deception detection screening context. The effectiveness of traditional countermeasure types (mental and physical) are examined, as well as an exploratory approach of trying several countermeasures at once. The exploratory approach was tested to investigate a proposed novel systems-inspired solution to countermeasures—triangulating on deception likelihood using multiple sensors measuring multiple behavioral and psychophysiological anomalies. The findings give credence to the proposition that monitoring multiple heterogeneous cues to deception may be a viable solution for mitigating the effectiveness of countermeasures.


© 2013 Association for Information Systems. This conference proceeding was originally published here:

International Conference on Information Systems (ICIS), Milan, Italy, December 15–18.

Citation Information
Nathan Twyman, Ryan M. Schuetzler, Jeffrey Gainer Proudfoot and Aaron Elkins. "A Systems Approach to Countermeasures in Credibility Assessment Interviews" (2013)
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