Literature DB >> 22545928

Lyin' eyes: ocular-motor measures of reading reveal deception.

Anne E Cook1, Douglas J Hacker, Andrea K Webb, Dahvyn Osher, Sean D Kristjansson, Dan J Woltz, John C Kircher.   

Abstract

Our goal was to evaluate an alternative to current methods for detecting deception in security screening contexts. We evaluated a new cognitive-based test of deception that measured participants' ocular-motor responses (pupil responses and reading behaviors) while they read and responded to statements on a computerized questionnaire. In Experiment 1, participants from a university community were randomly assigned to either a "guilty" group that committed one of two mock crimes or an "innocent" group that only learned about the crime. Participants then reported for testing, where they completed the computer-administered questionnaire that addressed their possible involvement in the crimes. Experiment 2 also manipulated participants' incentive to pass the test and difficulty of statements on the test. In both experiments, guilty participants had increased pupil responses to statements answered deceptively; however, they spent less time fixating on, reading, and rereading those statements than statements answered truthfully. These ocular-motor measures were optimally weighted in a discrimination function that correctly classified 85% of participants as either guilty or innocent. Findings from Experiment 2 indicated that group discrimination was improved with greater incentives to pass the test and the use of statements with simple syntax. The present findings suggest that two cognitive processes are involved in deception-vigilance and strategy-and that these processes are reflected in different ocular-motor measures. The ocular-motor test reported here represents a new approach to detecting deception that may fill an important need in security screening contexts.

Entities:  

Mesh:

Year:  2012        PMID: 22545928      PMCID: PMC3763937          DOI: 10.1037/a0028307

Source DB:  PubMed          Journal:  J Exp Psychol Appl        ISSN: 1076-898X


  27 in total

1.  Eye-movement-based memory effect: a reprocessing effect in face perception.

Authors:  R R Althoff; N J Cohen
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1999-07       Impact factor: 3.051

2.  Differentiation of deception using pupillary responses as an index of cognitive processing.

Authors:  D P Dionisio; E Granholm; W A Hillix; W F Perrine
Journal:  Psychophysiology       Date:  2001-03       Impact factor: 4.016

3.  Practice effects, workload, and reaction time in deception.

Authors:  Jennifer M C Vendemia; Robert F Buzan; Eric P Green
Journal:  Am J Psychol       Date:  2005

4.  Do adult readers know how they read? Evidence from eye movement patterns and verbal reports.

Authors:  Jukka Hyönä; Anna-Mari Nurminen
Journal:  Br J Psychol       Date:  2006-02

5.  Multilevel models for repeated measures research designs in psychophysiology: an introduction to growth curve modeling.

Authors:  Sean D Kristjansson; John C Kircher; Andrea K Webb
Journal:  Psychophysiology       Date:  2007-06-26       Impact factor: 4.016

6.  The pupil as a measure of emotional arousal and autonomic activation.

Authors:  Margaret M Bradley; Laura Miccoli; Miguel A Escrig; Peter J Lang
Journal:  Psychophysiology       Date:  2008-02-11       Impact factor: 4.016

7.  Pupil Size in Relation to Mental Activity during Simple Problem-Solving.

Authors:  E H Hess; J M Polt
Journal:  Science       Date:  1964-03-13       Impact factor: 47.728

8.  Pupil dilation as a measure of processing load in simultaneous interpretation and other language tasks.

Authors:  J Hyönä; J Tommola; A M Alaja
Journal:  Q J Exp Psychol A       Date:  1995-08

9.  The intensity dimension of thought: pupillometric indices of sentence processing.

Authors:  M A Just; P A Carpenter
Journal:  Can J Exp Psychol       Date:  1993-06

10.  The endogenous eyeblink.

Authors:  J A Stern; L C Walrath; R Goldstein
Journal:  Psychophysiology       Date:  1984-01       Impact factor: 4.016

View more
  6 in total

1.  PyTrack: An end-to-end analysis toolkit for eye tracking.

Authors:  Upamanyu Ghose; Arvind A Srinivasan; W Paul Boyce; Hong Xu; Eng Siong Chng
Journal:  Behav Res Methods       Date:  2020-12

2.  Combining blink, pupil, and response time measures in a concealed knowledge test.

Authors:  Travis L Seymour; Christopher A Baker; Joshua T Gaunt
Journal:  Front Psychol       Date:  2013-02-04

3.  Detecting false intent using eye blink measures.

Authors:  Frank M Marchak
Journal:  Front Psychol       Date:  2013-10-11

4.  Eye see through you! Eye tracking unmasks concealed face recognition despite countermeasures.

Authors:  Ailsa E Millen; Peter J B Hancock
Journal:  Cogn Res Princ Implic       Date:  2019-08-07

5.  Eye spy a liar: assessing the utility of eye fixations and confidence judgments for detecting concealed recognition of faces, scenes and objects.

Authors:  Ailsa E Millen; Lorraine Hope; Anne P Hillstrom
Journal:  Cogn Res Princ Implic       Date:  2020-08-14

6.  Concealed information revealed by involuntary eye movements on the fringe of awareness in a mock terror experiment.

Authors:  Gal Rosenzweig; Yoram S Bonneh
Journal:  Sci Rep       Date:  2020-09-01       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.