Manchester Metropolitan University's Research Repository

Intelligent Deception Detection through Machine Based Interviewing

O'Shea, Jim and Crockett, KA and Khan, Wasiq and Kindynis, Philippos and Antoniades, Athos and Boultadakis, Georgios (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.


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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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