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Trends & Controversies
Nov.-Dec. 2012 (vol. 27 no. 6)
pp. 60-75
Anton Nijholt, University of Twente
Ronald C. Arkin, Georgia Institute of Technology
Sébastien Brault, University Rennes 2
Richard Kulpa, University Rennes 2
Franck Multon, University Rennes 2
Benoit Bideau, University Rennes 2
David Traum, University of Southern California
Hayley Hung, University of Amsterdam
Eugene Santos Jr., Dartmouth College
Deqing Li, Dartmouth College
Fei Yu, Dartmouth College
Lina Zhou, University of Maryland, Baltimore County
Dongsong Zhang, University of Maryland, Baltimore County
Many applications require knowledge about how to deceive, including those related to safety, security, and warfare. Speech and text analysis can help detect deception, as can cameras, microphones, physiological sensors, and intelligent software. Models of deception and noncooperation can make a virtual or mixed-reality training environment more realistic, improve immersion, and thus make it more suitable for training military or security personnel. Robots might need to operate in physical and nontraining environments where they must perform military activity, including misleading the enemy. The contributions to this installment of Trends & Controversies present state-of-the-art research approaches to the analysis and generation of noncooperative and deceptive behavior in virtual humans, agents, and robots; the analysis of multiparty interaction in the context of deceptive behavior; and methods to detect misleading information in texts and computer-mediated communication. Articles include: "Computational Deception and Noncooperation," by Anton Nijholt; "Robots that Need to Mislead: Biologically-Inspired Machine Deception," by Ronald C. Arkin; "Deception in Sports Using Immersive Environments," by Sébastien Brault, Richard Kulpa, Franck Multon, and Benoit Bideau; "Non-Cooperative and Deceptive Virtual Agents," by David Traum; "Deception Detection in Multiparty Contexts,"by Hayley Hung; "Deception Detection, Human Reasoning, and Deception Intent," by Eugene Santos Jr., Deqing Li, and Fei Yu; and "Automatic Deception Detection in Computer-Mediated Communication," by Lina Zhou and Dongsong Zhang.
Index Terms:
Virtual reality,Human computer interaction,Training,agents,human-centered computing,deception detection,computer-mediated communication,virtual reality
Citation:
Anton Nijholt, Ronald C. Arkin, Sébastien Brault, Richard Kulpa, Franck Multon, Benoit Bideau, David Traum, Hayley Hung, Eugene Santos Jr., Deqing Li, Fei Yu, Lina Zhou, Dongsong Zhang, "Trends & Controversies," IEEE Intelligent Systems, vol. 27, no. 6, pp. 60-75, Nov.-Dec. 2012, doi:10.1109/MIS.2012.116
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