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Subject: "COMPUTER-AIDED SUPPORT OF THE DETECTION OF DECEPTION." Date: Tue, 13 Nov 2001 15:08:54 -0700 From: "Albert, Betty" balbert@CMI.ARIZONA.EDU To: ISWORLD@LISTSERV.HEANET.IE
Call for papers for a special issue of Group Decision and Negotiation on
"COMPUTER-AIDED SUPPORT OF THE DETECTION OF DECEPTION."
Edited by Judee Burgoon, jburgoon@cmi.arizona.edu mailto:jburgoon@cmi.arizona.edu & Jay Nunamaker, jnunamaker@cmi.arizona.edu mailto:jnunamaker@cmi.arizona.edu Center for the Management of Information University of Arizona Tucson, Arizona
Deception is defined as messages and information knowingly transmitted to create a false impression or conclusion. There are many ways to deceive, such as: lies, fabrications, concealments, misdirection, bluffs, fakery, mimicry, tall tales, white lies, deflections, evasions, equivocation, exaggerations, camouflage and strategic ambiguity. A major risk to our way of life in the 21st century is the failure to detect and counter deception in all forms of communication. This requires safeguarding our communication and information systems against manipulation, infiltration, and deception by adversaries. Yet achieving high information assurance is complicated by the very speed, complexity, volume, and globality of communication and information exchange that the communication systems now afford. It is also linked by the fallibility of human deception detection. The complexity of detecting and countering deceptions that involve humans as a source, conduit, or target defies a completely automated solution, and yet we must strive toward detection of deception from human communication and artifacts from computer systems. We are looking to publish papers in the following areas of deception detection: 1) theories of deception and detection processes, 2) experimental and longitudinal research that make humans susceptible to false positives and false negatives, 3) reliable indicators of deceit under varying task and communication conditions, 4) training courses, methodologies and computer-assisted training programs to improve detection abilities, 5) prototypes for automated tools to augment human detection, 6) techniques and strategies to distinguish truthful from deceptive information and communications, 7) descriptions of test cases, scenarios, laboratories and equipment to test and detect deception.
Deadlines: Please respond by December 31, 2001 with a three page abstract, if you plan to submit a paper to the special issue on detection of deception. We will provide feedback by January 31, 2002. Full papers are due by March 31, 2002.
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