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Intelligent Deception Detection through Machine Based Interviewing

O'Shea, J and Crockett, KA and Khan, W and Kindynis, P and Antoniades, A and Boultadakis, G (2018) Intelligent Deception Detection through Machine Based Interviewing. In: IEEE World Congress on Computational intelligence 2018 (IEEE IJCNN), 08 July 2018 - 13 July 2018, Brazil. (In Press)

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Abstract

In this paper an automatic deception detection system, which analyses participant deception risk scores from non-verbal behaviour captured during an interview conducted by an Avatar, is demonstrated. The system is built on a configuration of artificial neural networks, which are used to detect facial objects and extract non-verbal behaviour in the form of micro gestures over short periods of time. A set of empirical experiments was conducted based a typical airport security scenario of packing a suitcase. Data was collected through 30 participants participating in either a truthful or deceptive scenarios being interviewed by a machine based border guard Avatar. Promising results were achieved using raw unprocessed data on un-optimized classifier neural networks. These indicate that a machine based interviewing technique can elicit non-verbal interviewee behavior, which allows an automatic system to detect deception.

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