A Video-Based Screening System for Automated Risk Assessment Using Nuanced Facial Features
研究开发了一种利用面部僵硬程度作为风险指标的自动化面试系统，实验表明在高结构化访谈中面部僵硬普遍存在，为自动化风险评估提供了新方法，适用于审计、急诊室管理和安检等领域。
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.