A rigidity detection system for automated credibility assessment

Nathan Twyman, Aaron Elkins, Judee K Burgoon, Jay F Nunamaker

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)173-202
Number of pages30
JournalJournal of Management Information Systems
Volume31
Issue number1
DOIs
Publication statusPublished - Jul 1 2014

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Keywords

  • automated interviewing systems
  • computer vision
  • concealed information test
  • credibility assessment
  • deception detection
  • freeze response
  • kinesic rigidity

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems and Management
  • Management Science and Operations Research
  • Computer Science Applications

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