Fugitive Game
Can e-learning replace classroom learning?
Communications of the ACM - New architectures for financial services
Scenario-based training for deception detection
Proceedings of the 1st annual conference on Information security curriculum development
Deception Detection Via Blob Motion Pattern Analysis
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Detecting concealment of intent in transportation screening: a proof of concept
IEEE Transactions on Intelligent Transportation Systems
Designing Agent99 trainer: a learner-centered, web-based training system for deception detection
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Motion profiles for deception detection using visual cues
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
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Humans are not very good at detecting deception in normal communication.One possible remedy for improving detection accuracy is to educatepeople about various indicators of deception and then train them to spot theseindicators when they are used in normal communication. This paper reports onone such training effort involving over 100 military officers. Participants receivedtraining on deception detection generally, on specific indicators, and onheuristics. They completed pre- and post-tests on their knowledge in these areasand on their ability to detect deception. Detection accuracy was measured byasking participants to judge if behavior in a video, on an audiotape, or in a textpassage was deceptive or honest. Trained individuals outperformed those whodid not receive training on the knowledge tests, but there were no differencesbetween the groups in detection accuracy.