The Community for Technology Leaders
Green Image
Issue No. 06 - Nov.-Dec. (2012 vol. 27)
ISSN: 1541-1672
pp: 60-75
Anton Nijholt , University of Twente
Ronald C. Arkin , Georgia Institute of Technology
Sebastien 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 , 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.
Virtual reality, Human computer interaction, Training

A. Nijholt et al., "Trends & Controversies," in IEEE Intelligent Systems, vol. 27, no. 6, pp. 60-75, 2012.
688 ms
(Ver 3.3 (11022016))