Psychologically based virtual-suspect for interrogative interview training

Moshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


This paper presents a Virtual-Suspect system designed for use in police interrogation training simulations. The system allows users to preconfigure various scenarios based on real cases, as well as different suspect histories and personality types. The responses given by the Virtual-Suspect during the interrogation are selected based on context and the suspect’s psychological state, which changes in response to each interrogator’s statement. Experiments with 24 subjects have shown that the Virtual-Suspect’s responses in an interrogation scenario are similar to those of a human respondent.

Original languageEnglish
Title of host publicationIntelligent Virtual Agents - 16th International Conference, IVA 2016, Proceedings
EditorsPeter Khooshabeh, David Traum, William Swartout, Stefan Scherer, Anton Leuski, Stefan Kopp
PublisherSpringer Verlag
Number of pages5
ISBN (Print)9783319476643
StatePublished - 2016
Event16th International Conference on Intelligent Virtual Agents, IVA 2016 - Los Angeles, United States
Duration: 20 Sep 201623 Sep 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10011 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference16th International Conference on Intelligent Virtual Agents, IVA 2016
Country/TerritoryUnited States
CityLos Angeles

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.


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