Computer-Based Training for Deception Detection: What Users Want? View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2004

AUTHORS

Jinwei Cao , Ming Lin , Amit Deokar , Judee K. Burgoon , Janna M. Crews , Mark Adkins

ABSTRACT

Training humans in detecting deception is as much a difficult and important problem as detecting deception itself. A computer-based deception detection training system, Agent99 Trainer, was built with a goal to train humans to understand deception and detect deception more accurately. Based on the previous studies, a newer version of this system was designed and implemented not only to overcome the limitations of the earlier system, but also to enhance it with additional useful features. In this paper, we present a usability study to test the design of this system from a users’ perspective. The findings of this study, based on quantitative and qualitative data, demonstrate good usability of the training system, along with providing a better understanding of what users want from such a deception detection training system. More... »

PAGES

163-175

References to SciGraph publications

Book

TITLE

Intelligence and Security Informatics

ISBN

978-3-540-22125-8
978-3-540-25952-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-25952-7_12

DOI

http://dx.doi.org/10.1007/978-3-540-25952-7_12

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019703753


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