Embodied Conversational Agent-Based Deception Detection: Concealed Information Test Using Automated Electrodermal, Vocal, and Oculmentric Measurements

Aaron C. Elkins, Jeffrey G. Proudfoot, Nathan Twyman, Judee K. Burgoon, Jay F. Nunamaker

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

An Embodied Conversational Agent-based human deception detection system was tested in a laboratory experiment during which some subjects had committed a mock crime and had guilty knowledge of that crime. Sensor signals were analyzed for their ability to discriminate between guilty/deceptive and innocent/truthful examinees and suitability for conducting automated agent-based deception interviews. Electrodermal activity confirmed the presence of arousal during the agent-based interviews.

Original languageEnglish (US)
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer
Pages294-307
Number of pages14
DOIs
StatePublished - 2018

Publication series

NameLecture Notes in Networks and Systems
Volume16
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Keywords

  • Agent-based deception interviewing
  • Credibility assessment
  • Deception detection
  • Human risk assessment

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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