A Video-Based Screening System for Automated Risk Assessment using Nuanced Facial Features

Abstract

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.

Department(s)

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)

0742-1222; 1557-928X

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Taylor & Francis, All rights reserved.

Publication Date

01 Oct 2017

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