Detecting concealment of intent in transportation screening: A proof of concept

Judee K. Burgoon; Douglas P. Twitchell; Matthew L. Jensen; Thomas O. Meservy; Mark Adkins; John Kruse; Amit V. Deokar; Gabriel Tsechpenakis; Shan Lu; Dimitris N. Metaxas; Jay F. Nunamaker; Robert E. Younger

doi:10.1109/TITS.2008.2011700

Detecting concealment of intent in transportation screening: A proof of concept

Judee K. Burgoon, Douglas P. Twitchell, Matthew L. Jensen, Thomas O. Meservy, Mark Adkins, John Kruse, Amit V. Deokar, Gabriel Tsechpenakis, Shan Lu, Dimitris N. Metaxas, Jay F. Nunamaker, Robert E. Younger

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

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 language	English (US)
Article number	4773224
Pages (from-to)	103-112
Number of pages	10
Journal	IEEE Transactions on Intelligent Transportation Systems
Volume	10
Issue number	1
DOIs	https://doi.org/10.1109/TITS.2008.2011700
State	Published - 2009

Keywords

Concealment
Kinesic analysis
Message feature mining
Security
Speech act profiling

ASJC Scopus subject areas

Automotive Engineering
Mechanical Engineering
Computer Science Applications

Access to Document

10.1109/TITS.2008.2011700

Cite this

Burgoon, J. K., Twitchell, D. P., Jensen, M. L., Meservy, T. O., Adkins, M., Kruse, J., Deokar, A. V., Tsechpenakis, G., Lu, S., Metaxas, D. N., Nunamaker, J. F., & Younger, R. E. (2009). Detecting concealment of intent in transportation screening: A proof of concept. IEEE Transactions on Intelligent Transportation Systems, 10(1), 103-112. Article 4773224. https://doi.org/10.1109/TITS.2008.2011700

Burgoon, JK, Twitchell, DP, Jensen, ML, Meservy, TO, Adkins, M, Kruse, J, Deokar, AV, Tsechpenakis, G, Lu, S, Metaxas, DN, Nunamaker, JF & Younger, RE 2009, 'Detecting concealment of intent in transportation screening: A proof of concept', IEEE Transactions on Intelligent Transportation Systems, vol. 10, no. 1, 4773224, pp. 103-112. https://doi.org/10.1109/TITS.2008.2011700

@article{11b9a3b4503d46c2a9cb9ab85189399b,

title = "Detecting concealment of intent in transportation screening: A proof of concept",

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.",

keywords = "Concealment, Kinesic analysis, Message feature mining, Security, Speech act profiling",

author = "Burgoon, {Judee K.} and Twitchell, {Douglas P.} and Jensen, {Matthew L.} and Meservy, {Thomas O.} and Mark Adkins and John Kruse and Deokar, {Amit V.} and Gabriel Tsechpenakis and Shan Lu and Metaxas, {Dimitris N.} and Nunamaker, {Jay F.} and Younger, {Robert E.}",

note = "Funding Information: Manuscript received March 6, 2007; revised May 7, 2008 and October 6, 2008. First published February 3, 2009; current version published February 27, 2009. This work was supported in part by the U.S. Air Force Office of Scientific Research under the U.S. Department of Defense University Research Initiative Grant F49620-01-1-0394 and in part by the U.S. Department of Homeland Security under Cooperative Agreement N66001-01-X-6042. The Associate Editor for this paper was D. Zeng.",

year = "2009",

doi = "10.1109/TITS.2008.2011700",

language = "English (US)",

volume = "10",

pages = "103--112",

journal = "IEEE Transactions on Intelligent Transportation Systems",

issn = "1524-9050",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

}

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.

N1 - Funding Information: Manuscript received March 6, 2007; revised May 7, 2008 and October 6, 2008. First published February 3, 2009; current version published February 27, 2009. This work was supported in part by the U.S. Air Force Office of Scientific Research under the U.S. Department of Defense University Research Initiative Grant F49620-01-1-0394 and in part by the U.S. Department of Homeland Security under Cooperative Agreement N66001-01-X-6042. The Associate Editor for this paper was D. Zeng.

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

UR - http://www.scopus.com/inward/citedby.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 -

Detecting concealment of intent in transportation screening: A proof of concept

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this