Virtual humans with secrets: Learning to detect verbal cues to deception

H. Chad Lane, Mike Schneider, Stephen W. Michael, Justin S. Albrechtsen, Christian A. Meissner

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Virtual humans are animated, lifelike characters capable of free-speech and nonverbal interaction with human users. In this paper, we describe the development of two virtual human characters for teaching the skill of deception detection. An accompanying tutoring system provides solicited hints on what to ask during an interview and unsolicited feedback that identifies properties of truthful and deceptive statements uttered by the characters. We present the results of an experiment comparing use of virtual humans with tutoring against a no-interaction (baseline) condition and a didactic condition. The didactic group viewed a slide show consisting of recorded videos along with descriptions of properties of deception and truth-telling. Results revealed that both groups significantly outperformed the no-interaction control group in a binary decision task to identify truth or deception in video statements. No significant differences were found between the training conditions.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 10th International Conference, ITS 2010, Proceedings
Number of pages11
EditionPART 2
StatePublished - 2010
Externally publishedYes
Event10th International Conference on Intelligent Tutoring Systems, ITS 2010 - Pittsburgh, PA, United States
Duration: Jun 14 2010Jun 18 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6095 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th International Conference on Intelligent Tutoring Systems, ITS 2010
Country/TerritoryUnited States
CityPittsburgh, PA


  • deception detection
  • intelligent tutoring systems
  • virtual humans

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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