A Rigidity Detection System for Automated Credibility Assessment

• 成果类型: Article
• 署名作者: Twyman, Nathan W.; Elkins, Aaron C.; Burgoon, Jude K.; Nunamaker, Jay F., Jr.
• 署名单位: University of Arizona; Imperial College London; University of Arizona; University of Arizona
• 刊物名称: JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
• ISSN/ISSBN: 0742-1222
• DOI: 10.2753/MIS0742-1222310108
• 发表日期: 2014
• 页码: 173-201
• 关键词: guilty knowledge technique; concealed information test; deception detection; decision-making; Police officers; accuracy; validity; cues; fmri; lies

摘要

Credibility assessment is an area in which information systems research can make a major impact. This paper reports on two studies investigating a system solution for automatic, noninvasive detection of rigidity for automated interviewing. Kinesic rigidity has long been a phenomenon of interest in the credibility assessment literature, but until now was infeasible as a veracity indicator in practical use cases. An initial study unexpectedly revealed the occurrence of rigidity in a highly controlled concealed information test setting, prompting the design and implementation of an automated rigidity detection system for interviewing. A unique experimental evaluation supported the system concept. The results of the second study confirmed the kinesic rigidity found in the first, and provided further theoretical insights explaining the rigidity phenomenon. Although additional research is needed, the evidence from this investigation suggests that credibility assessment can benefit from a rigidity detection system.