Keywords
concealment, kinesic analysis, message feature mining, security, speech act profiling
Abstract
Transportation and border security systems have a common goal: to allow law-abiding people to pass through security and detain those people who intend to harm. Understanding how intention is concealed and how it might be detected should help in attaining this goal. In this paper, we introduce a multidisciplinary theoretical model of intent concealment along with three verbal and nonverbal automated methods for detecting intent: message feature mining, speech act profiling, and kinesic analysis. This paper also reviews a program of empirical research supporting this model, including several previously published studies and the results of a proof-of-concept study. These studies support the model by showing that aspects of intent can be detected at a rate that is higher than chance. Finally, this paper discusses the implications of these findings in an airport-screening scenario.
Original Publication Citation
"Detecting concealment of intent in transportation screening: a proof-of-concept", IEEE Transactions on Intelligent Transportation Systems, Edition 1, Volume 10, Pages 103-112, IEEE, 2009
BYU ScholarsArchive Citation
Burgoon, Judee K.; Twitchell, Douglas P.; Jensen, Matthew L.; Meservy, Thomas O.; Adkins, Mark; Kruse, John; Deokar, Amit V.; Tsechpenakis, Gabriel; Lu, Shan; Metaxas, Dimitris N.; Nunamaker, Jay F. Jr.; and Younger, Robert E., "Detecting Concealment of Intent in Transportation Screening: A Proof of Concept" (2009). Faculty Publications. 9524.
https://scholarsarchive.byu.edu/facpub/9524
Document Type
Peer-Reviewed Article
Publication Date
2009
Publisher
IEEE Transactions on Intelligent Transportation Systems
Language
English
College
Marriott School of Business
Department
Information Systems Management
Copyright Status
© 2009 IEEE
Copyright Use Information
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