A Video-Based Screening System for Automated Risk Assessment using Nuanced Facial Features
This study investigates the development of an automated interviewing system that uses facial behavior as an indicator of the risk of given illicit behavior. Traditional facial emotion indicators of risk in semistructured dialogue may have limitations in an automated approach. However, an initial analysis of mock crime interviews suggests that the face may exhibit some form of rigidity during highly structured interviews. An interviewing system design using facial rigidity analysis was implemented and experimentally evaluated, the results of which further reveal that the rigidity is fairly generalized across the face. Whereas existing theory traditionally focuses on leakage of facial expressions, this study provides evidence that neutralization of facial expression may be a valuable alternative for automated interviewing systems. The proof-of-concept system in this study may help human risk assessment move beyond traditional boundaries, into fields such as auditing, emergency room management, and security screening.
Pentland, S. J., Twyman, N. W., Burgoon, J. K., Nunamaker, J. F., & Diller, C. B. (2017). A Video-Based Screening System for Automated Risk Assessment using Nuanced Facial Features. Journal of Management Information Systems, 34(4), pp. 970-993. Taylor & Francis.
The definitive version is available at https://doi.org/10.1080/07421222.2017.1393304
Business and Information Technology
Keywords and Phrases
Automated Interviewing; Credibility Assessment; Deception Detection; Facial Expression Recognition; Facial Rigidity Analysis; Risk Assessment
International Standard Serial Number (ISSN)
Article - Journal
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01 Oct 2017