TY - JOUR
T1 - Detecting concealment of intent in transportation screening
T2 - A proof of concept
AU - Burgoon, Judee K.
AU - Twitchell, Douglas P.
AU - Jensen, Matthew L.
AU - Meservy, Thomas O.
AU - Adkins, Mark
AU - Kruse, John
AU - Deokar, Amit V.
AU - Tsechpenakis, Gabriel
AU - Lu, Shan
AU - Metaxas, Dimitris N.
AU - Nunamaker, Jay F.
AU - Younger, Robert E.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Concealment
KW - Kinesic analysis
KW - Message feature mining
KW - Security
KW - Speech act profiling
UR - http://www.scopus.com/inward/record.url?scp=61849088991&partnerID=8YFLogxK
U2 - 10.1109/TITS.2008.2011700
DO - 10.1109/TITS.2008.2011700
M3 - Article
AN - SCOPUS:61849088991
SN - 1524-9050
VL - 10
SP - 103
EP - 112
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 1
M1 - 4773224
ER -