The face of an imposter:  Computer Vision for Deception Detection Research in Progress

Aaron C. Elkins; Yijia Sun; Stefanos Zafeiriou; Maja  Pantic

The face of an imposter: Computer Vision for Deception Detection Research in Progress

Aaron C. Elkins, Yijia Sun, Stefanos Zafeiriou, Maja Pantic

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Using video analyzed from a novel deception experiment, this paper introduces computer vision research in progress that addresses two critical components to computational modeling of deceptive behavior: 1) individual nonverbal behavior differences, and 2) deceptive ground truth. Video interviews analyzed for this research were participants recruited as potential hooligans (extreme sports fans) who lied about support for their rival team. From these participants, we will process and extract features representing their faces that will be submitted to slow feature analysis. From this analysis we will identify each person’s unique facial expression and behaviors, and look for systemic variation between truth and deception.

Original language	English
Title of host publication	Proceedings of the Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium
Subtitle of host publication	January 2013
Editors	Matthew Jensen, Thomas Meservy, Judee Burgoon, Jay Nunamaker
Number of pages	5
Publication status	Published - 8 Jan 2013
Event	HICSS-46 Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium 2013 - Maui, United States Duration: 7 Jan 2013 → 8 Jan 2013

Conference

Conference	HICSS-46 Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium 2013
Country/Territory	United States
City	Maui
Period	7/01/13 → 8/01/13

Keywords

EWI-24537
METIS-310007
IR-95218
HMI-HF: Human Factors

Access to Document

Pantic_The_face_of_an_imposter

Cite this

@inproceedings{e87b6d749f6e4183af468b772d470d4c,

title = "The face of an imposter: Computer Vision for Deception Detection Research in Progress",

abstract = "Using video analyzed from a novel deception experiment, this paper introduces computer vision research in progress that addresses two critical components to computational modeling of deceptive behavior: 1) individual nonverbal behavior differences, and 2) deceptive ground truth. Video interviews analyzed for this research were participants recruited as potential hooligans (extreme sports fans) who lied about support for their rival team. From these participants, we will process and extract features representing their faces that will be submitted to slow feature analysis. From this analysis we will identify each person{\textquoteright}s unique facial expression and behaviors, and look for systemic variation between truth and deception.",

keywords = "EWI-24537, METIS-310007, IR-95218, HMI-HF: Human Factors",

author = "Elkins, {Aaron C.} and Yijia Sun and Stefanos Zafeiriou and Maja Pantic",

note = "Presented at HICSS 2013; HICSS-46 Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium 2013 ; Conference date: 07-01-2013 Through 08-01-2013",

year = "2013",

month = jan,

day = "8",

language = "English",

editor = "Matthew Jensen and Thomas Meservy and Judee Burgoon and Jay Nunamaker",

booktitle = "Proceedings of the Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium",

}

Elkins, AC, Sun, Y, Zafeiriou, S & Pantic, M 2013, The face of an imposter: Computer Vision for Deception Detection Research in Progress. in M Jensen, T Meservy, J Burgoon & J Nunamaker (eds), Proceedings of the Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium: January 2013. HICSS-46 Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium 2013, Maui, Hawaii, United States, 7/01/13.

The face of an imposter : Computer Vision for Deception Detection Research in Progress. / Elkins, Aaron C.; Sun, Yijia; Zafeiriou, Stefanos et al.

Proceedings of the Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium: January 2013. ed. / Matthew Jensen; Thomas Meservy; Judee Burgoon; Jay Nunamaker. 2013.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - The face of an imposter

T2 - HICSS-46 Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium 2013

AU - Elkins, Aaron C.

AU - Sun, Yijia

AU - Zafeiriou, Stefanos

AU - Pantic, Maja

N1 - Presented at HICSS 2013

PY - 2013/1/8

Y1 - 2013/1/8

N2 - Using video analyzed from a novel deception experiment, this paper introduces computer vision research in progress that addresses two critical components to computational modeling of deceptive behavior: 1) individual nonverbal behavior differences, and 2) deceptive ground truth. Video interviews analyzed for this research were participants recruited as potential hooligans (extreme sports fans) who lied about support for their rival team. From these participants, we will process and extract features representing their faces that will be submitted to slow feature analysis. From this analysis we will identify each person’s unique facial expression and behaviors, and look for systemic variation between truth and deception.

AB - Using video analyzed from a novel deception experiment, this paper introduces computer vision research in progress that addresses two critical components to computational modeling of deceptive behavior: 1) individual nonverbal behavior differences, and 2) deceptive ground truth. Video interviews analyzed for this research were participants recruited as potential hooligans (extreme sports fans) who lied about support for their rival team. From these participants, we will process and extract features representing their faces that will be submitted to slow feature analysis. From this analysis we will identify each person’s unique facial expression and behaviors, and look for systemic variation between truth and deception.

KW - EWI-24537

KW - METIS-310007

KW - IR-95218

KW - HMI-HF: Human Factors

M3 - Conference contribution

BT - Proceedings of the Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium

A2 - Jensen, Matthew

A2 - Meservy, Thomas

A2 - Burgoon, Judee

A2 - Nunamaker, Jay

Y2 - 7 January 2013 through 8 January 2013

ER -