True Lies: Delusions and Lie-Detection Technology
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The Future of Neuroimaged Lie Detection and the Law
The University of Akron IdeaExchange@UAkron Akron Law Review Akron Law Journals June 2015 The uturF e of Neuroimaged Lie Detection and the Law Joelle Anne Moreno Please take a moment to share how this work helps you through this survey. Your feedback will be important as we plan further development of our repository. Follow this and additional works at: http://ideaexchange.uakron.edu/akronlawreview Part of the Science and Technology Law Commons Recommended Citation Moreno, Joelle Anne (2009) "The uturF e of Neuroimaged Lie Detection and the Law," Akron Law Review: Vol. 42 : Iss. 3 , Article 3. Available at: http://ideaexchange.uakron.edu/akronlawreview/vol42/iss3/3 This Article is brought to you for free and open access by Akron Law Journals at IdeaExchange@UAkron, the institutional repository of The nivU ersity of Akron in Akron, Ohio, USA. It has been accepted for inclusion in Akron Law Review by an authorized administrator of IdeaExchange@UAkron. For more information, please contact [email protected], [email protected]. Moreno: The Future of Neuroimaged Lie Detection and the Law 8-MORENO_COPYFORPRINTER.DOC 4/27/2009 12:43 PM THE FUTURE OF NEUROIMAGED LIE DETECTION AND THE LAW Joëlle Anne Moreno∗ I. How Should Law Prepare to Respond to Cognitive Neuroscience? .................................................................. 722 A. The Potential Influence of Cognitive Neuroscience on Law ...................................................................... 722 B. Neuroimages in Court ................................................ 723 C. Cognitive Neuroscience Evidence in Court ............... 723 C. Extra-Legal Uses of Cognitive Neuroscience ............ 732 II. How Should Law (and Law Professors) Respond to Cognitive Neuroscience? ................................................. 733 A. Understanding the Value and Limits of Cognitive Neuroscience ............................................................ -
On Gaslighting: How to Dominate Others 31 Without Their Knowledge Or Consent 3 on Questioning Used As a Covert Method 47 of Interpersonal Control
Gaslighting, the Double Whammy, Interrogation, and Other Methods of Covert Control in Psychotherapy and Analysis Gaslighting, the Double Whammy, Interrogation, and Other Methods of Covert Control in Psychotherapy and Analysis THEO. L. DORPAT, M.D. JASON ARONSON INC. Northvale, New Jersey London This book was set in 11 pt. Berkeley Book by Alpha Graphics of Pittsfield, New Hamp shire, and printed and bound by Book-man of North Bergen, New Jersey. Copyright © 1996 by Jason Aronson Inc. 10 9 8 7 6 54 3 2 1 All rights reserved. Printed in the United States of America. No pan of this book may be used or reproduced in any manner whatsoever without written permission from Jason Aronson Inc. except in the case of brief quotations in reviews for inclusion in a maga zine, newspaper, or broadcast. Library of Congress Cataloging-in-Publication Data Dorpat, Theodore L Gaslighting, the double whammy, interrogation, and other methods of covert control in psychotherapy and analysis I Theo. L Dorpat. p. em. Includes bibliographical references and index. ISBN 978-1-56821-828-1 l. Psychoanalysis-Moral and ethical aspects. 2. Control (Psychology) 3. Psychotherapist and patient-Moral and ethical aspects. 4. Mental suggestion-Moral and ethical aspects. 5. Brainwashing. 6. Manipulative behavior. I. Title. [DNLM: 1. Power (Psychology) 2. Psychotherapy. 3. Psychoanalysis-methods. WM 420 D715i 19961 RCS06.D668 1996 616.89'14-dc20 DNLMIDLC for Library of Congress 96-14098 Manufactured in the United States of America. Jason Aronson Inc. offers books and cas settes. For information and catalog write to Jason Aronson Inc., 230 Livingston Street, Northvale, New Jersey 07647. -
Machine Learning-Based Lie Detector Applied to a Novel Annotated Game Dataset Nuria Rodriguez Diaz, Decky Aspandi, Federico Sukno, and Xavier Binefa
JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1 Machine Learning-based Lie Detector applied to a Novel Annotated Game Dataset Nuria Rodriguez Diaz, Decky Aspandi, Federico Sukno, and Xavier Binefa Abstract—Lie detection is considered a concern for everyone in the periorbital- [6] or perinasal-region [7] in thermal imagery, their day to day life given its impact on human interactions. Thus, which cannot be perceived by human vision. people normally pay attention to both what their interlocutors One of the crucial aspects to appropriately address lie- are saying and also to their visual appearances, including faces, to try to find any signs that indicate whether the person is detection research is the availability of adequate datasets. The telling the truth or not. While automatic lie detection may help acquisition of training and, especially, evaluation material for us to understand this lying characteristics, current systems are lie detection is a challenging task, particularly regarding the still fairly limited, partly due to lack of adequate datasets to necessity to gather ground truth, namely, to know whether a evaluate their performance in realistic scenarios. In this work, we person is lying or not. The main difficulty arises because such have collected an annotated dataset of facial images, comprising both 2D and 3D information of several participants during a knowledge is not useful if the scenario is naively simulated card game that encourages players to lie. Using our collected (e.g. it is not sufficient to instruct a person to simply tell dataset, We evaluated several types of machine learning-based a lie). -
Emotions and Deception Detection
Emotions and Deception Detection Mircea Zloteanu Division of Psychology and Language Sciences University College London, UK A dissertation submitted in part fulfilment of the requirement for the degree of Doctor of Philosophy in Psychology Prepared under the supervision of Dr. Daniel C. Richardson September 2016 1 I, Mircea Zloteanu, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Signature 2 Abstract Humans have developed a complex social structure which relies heavily on communication between members. However, not all communication is honest. Distinguishing honest from deceptive information is clearly a useful skills, but individuals do not possess a strong ability to discriminate veracity. As others will not willingly admit they are lying, one must rely on different information to discern veracity. In deception detection, individuals are told to rely on behavioural indices to discriminate lies and truths. A source of such indices are the emotions displayed by another. This thesis focuses on the role that emotions have on the ability to detect deception, exploring the reasons for low judgemental accuracy when individuals focus on emotion information. I aim to demonstrate that emotion recognition does not aid the detection of deception, and can result in decreased accuracy. This is attributed to the biasing relationship of emotion recognition on veracity judgements, stemming from the inability of decoders to separate the authenticity of emotional cues. To support my claims, I will demonstrate the lack of ability of decoders to make rational judgements regarding veracity, even if allowed to pool the knowledge of multiple decoders, and disprove the notion that decoders can utilise emotional cues, both innately and through training, to detect deception. -
Brain Activity During Simulated Deception: an Event-Related Functional Magnetic Resonance Study
NeuroImage 15, 727–732 (2002) doi:10.1006/nimg.2001.1003, available online at http://www.idealibrary.com on RAPID COMMUNICATION Brain Activity during Simulated Deception: An Event-Related Functional Magnetic Resonance Study D. D. Langleben,1 L. Schroeder, J. A. Maldjian,* R. C. Gur, S. McDonald, J. D. Ragland, C. P. O’Brien, and A. R. Childress Department of Psychiatry and *Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 Received May 30, 2001; published online January 4, 2002 cations and there is a strong general interest in objec- The Guilty Knowledge Test (GKT) has been used tive methods for its detection (Holden, 2001). extensively to model deception. An association be- Multichannel physiological recording (polygraph) is tween the brain evoked response potentials and lying currently the most widely used method for the detec- on the GKT suggests that deception may be associated tion of deception (Office of Technology Assessment, with changes in other measures of brain activity such 1990). The effectiveness of the polygraph in the study as regional blood flow that could be anatomically lo- and detection of deception is limited by reliance on calized with event-related functional magnetic reso- peripheral manifestations of anxiety (skin conduc- nance imaging (fMRI). Blood oxygenation level-depen- tance, heart rate, and respiration) (Office of Technol- dent fMRI contrasts between deceptive and truthful responses were measured with a 4 Tesla scanner in 18 ogy Assessment, 1983). Scalp-recorded event-related participants performing the GKT and analyzed using potentials (ERPs) have also been used in the study of statistical parametric mapping. Increased activity in deception. -
Efficient Lying Involves Self-Deception – Because If You Really Believe Your Lie, Your Limbic System Won't Give You Away
The story “Looking for the Lie” http://www.nytimes.com/2006/02/05/magazine/05lying.html by Robin Marantz Henig New York Times Magazine, February 5, 2006 The pitch Dear Vera, A picture of a brain caught in mid-lie – that’s pretty hard to resist. Think of all the liars you’d love to expose: criminals, terrorists, politicians, philandering spouses, drug- abusing kids. That’s why scientists are trying to develop ways to unmask liars with techniques that go beyond traditional polygraphs – which are notoriously imprecise – or simple hunches – which are notoriously wrong. The next generation of lie detectors will include functional MRI scans, sophisticated electroencephalograms, and beams of light that can be blasted right inside the brain. But as we move closer to an era of high-tech mindreading, we should first take a look at what we know about lying – and whether it’s always such a good idea to uncover it. Is there an evolutionary purpose to deceit? A social purpose? Can anyone live in a community in which lies are always exposed and eliminated? If we can tell with confidence that someone is lying to us, is that something we even want to know? I’d like to propose a piece about lying for the Magazine, either as a 5000-word feature or as a longer cover story that gives me the space to explore the cultural, biological, and evolutionary implications of deception. I will also ask some of the questions raised with any new medical technology: what it can offer, how it can be abused, and whether it will set us off down a “slippery slope” that will lead to information we’d be better off without. -
An Assessment of Lie Detection Capability (1964)
IDA TECHNICAL REPORT 62-16 AN ASSESSMENT OF LIE DETECTION CAPABILITY (DECLASSIFIED VERSION) Jesse Orlansky July 1964 (classified version issued July 1962) INSTITUTE FOR DEFENSE ANALYSES RESEARCH AND ENGINEERING SUPPORT DIVISION Contract SD-50 Task 8 FOREWORD "An Assessment of Lie Detection Capability" was originally pub- lished as a SECRET NOPORN document by IDA/RESD on July 31, 1962, as TR 62-16. The Director of Defense Research and Engineering, Depart- ment of Defense, deleted portions of the repoit and declassified the remainder on May 13, 1964. The declassified version was printed as Exhibit 25 (pp. 425 to 463) of "Hearings Before a Subcommittee nf the Committee of Government Operations, House of Representatives, Eighty- Eighth Congress, Second Session, April 29 and 30, 1964," by the U.S. Government Printing Office. Except for the forematter, this reprint of the unclassified ver- sion is a facsimile reproduction of Exhibit 25. Three asterisks (* **) indicate that less than a pargrap has been deleted. A line of seven asterisks * * * ) Indicates deletion of one or more paragraphas. The coeplote report rtans its original classification. iii ACXNOWLEDCI4EN! The author wishes to thank many individuals who assisted this study by providing information and by reviewing a preliminary draft. This assistance is acknowledged gratefully but the author alone is accountable for the views expressed in this report. Dr. Joseph E. Barmack of the Institute for Defense Analyses is due a special thanks for his help in preparing the final report. v CONTENTS Foreword ii Acknowledgment v Contents vii Summary ix Conclusions xi Recommendations xiii 1. Purpose of This Report 1 2. -
What Works in the Treatment of Borderline Personality Disorder
What Works in the Treatment of Borderline Personality Disorder The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Choi-Kain, Lois W., Ellen F. Finch, Sara R. Masland, James A. Jenkins, and Brandon T. Unruh. 2017. “What Works in the Treatment of Borderline Personality Disorder.” Current Behavioral Neuroscience Reports 4 (1): 21-30. doi:10.1007/s40473-017-0103-z. http://dx.doi.org/10.1007/s40473-017-0103-z. Published Version doi:10.1007/s40473-017-0103-z Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:32072120 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Curr Behav Neurosci Rep (2017) 4:21–30 DOI 10.1007/s40473-017-0103-z PERSONALITY AND IMPULSE CONTROL DISORDERS (R LEE, SECTION EDITOR) What Works in the Treatment of Borderline Personality Disorder Lois W. Choi-Kain1 & Ellen F. Finch1 & Sara R. Masland1 & James A. Jenkins2 & Brandon T. Unruh1 Published online: 3 February 2017 # The Author(s) 2017. This article is published with open access at Springerlink.com Abstract Keywords Borderline personality disorder . Psychotherapy . Purpose of the Review This review summarizes advances in General psychiatric management . Dialectical behavior treatments for adults with borderline personality disorder therapy . Mentalization-based treatment . (BPD) in the last 5 years. Transference-focused psychotherapy . Schema-focused Recent Findings Evidence-based advances in the treat- therapy ment of BPD include a delineation of generalist models of care in contrast to specialist treatments, identification of essential effective elements of dialectical behavioral Introduction therapy (DBT), and the adaptation of DBT treatment to manage post-traumatic stress disorder (PTSD) and BPD. -
Functional MRI-Based Lie Detection: Acknowledge Possession of the Other5
PERSPECTIVES In one of the earliest studies, subjects NEUROSCIENCE AND THE LAW — SCIENCE AND SOCIETY were given two playing cards and were instructed to deny possession of one and Functional MRI-based lie detection: acknowledge possession of the other5. Subjects underwent fMRI scanning while they viewed a series of cards, including the scientific and societal challenges two critical cards and other cards that they had not been given. A comparison between Martha J. Farah, J. Benjamin Hutchinson, Elizabeth A. Phelps ‘truth’ trials and ‘lie’ trials revealed brain and Anthony D. Wagner activity associated with deception. In a simi- lar task design, subjects mentally picked a Abstract | Functional MRI (fMRI)-based lie detection has been marketed as a tool number between three and eight, and when for enhancing personnel selection, strengthening national security and protecting shown a series of numbers on a screen, personal reputations, and at least three US courts have been asked to admit the denied having picked that number (the criti- results of lie detection scans as evidence during trials. How well does fMRI-based cal lie item) and also denied having picked lie detection perform, and how should the courts, and society more generally, the other numbers (truth items) while undergoing fMRI7. Here again, activity on lie respond? Here, we address various questions — some of which are based on a trials was compared with that on truth trials meta-analysis of published studies — concerning the scientific state of the art in to discover which areas were associated with fMRI-based lie detection and its legal status, and discuss broader ethical and deception in this task. -
Which Lie Detection Tools Are Ready for Use in the Criminal Justice System?
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Portsmouth University Research Portal (Pure) Lie Detection Tools 1 Which Lie Detection Tools are Ready for Use in the Criminal Justice System? Aldert Vrij1 University of Portsmouth (UK) Ronald P Fisher Florida International University (USA) 1 Correspondence concerning this article should be addressed to: Aldert Vrij, University of Portsmouth, Psychology Department, King Henry Building, King Henry 1 Street, PO1 2DY, Portsmouth, Hants, UK or via email: [email protected] Lie Detection Tools 2 We introduce ‘arousal based’ lie detection tools (the Behavior Analysis Interview, the Comparison Question polygraph Test, CQT) and ‘cognition based’ lie detection tools (imposing cognitive load, encouraging interviewees to say more, asking unexpected questions, Strategic Use of Evidence and Verifiability Approach, Concealed Information polygraph Test, CIT), and discuss whether they are ready for use in investigative interviews. We developed ten criteria on which to judge their suitability. The two arousal-based techniques (frequently used) fall short on numerous criteria. There are too many problems associated with the imposing cognitive load technique, but the other cognitive techniques are ready for use (encouraging interviewees to say more and Strategic Use of Evidence) or ready for use if they continue to receive support in empirical research (asking unexpected questions and Verifiability Approach). The CIT polygraph test cannot be included in a standard investigative interview but can be useful in addition to investigative interviewing. Vrij wrote the first draft of the article, Fisher commented on it, and Vrij revised the article based on Fisher's comments. -
Fmri and Lie Detection
Columbia Law School Scholarship Archive Faculty Scholarship Faculty Publications 2016 fMRI and Lie Detection Anthony D. Wagner [email protected] Richard J. Bonnie [email protected] BJ Casey [email protected] Andre Davis [email protected] David L. Faigman See next page for additional authors Follow this and additional works at: https://scholarship.law.columbia.edu/faculty_scholarship Part of the Criminal Law Commons, and the Science and Technology Law Commons Recommended Citation Anthony D. Wagner, Richard J. Bonnie, BJ Casey, Andre Davis, David L. Faigman, Morris B. Hoffman, Owen D. Jones, Read Montague, Stephen J. Morse, Marcus E. Raichle, Jennifer A. Richeson, Elizabeth S. Scott, Laurence Steinberg, Kim Taylor-Thompson & Gideon Yaffe, fMRI and Lie Detection, MACARTHUR FOUNDATION RESEARCH NETWORK ON LAW & NEUROSCIENCE, FEBRUARY 2016; VANDERBILT LAW RESEARCH PAPER NO. 17-10 (2016). Available at: https://scholarship.law.columbia.edu/faculty_scholarship/2015 This Working Paper is brought to you for free and open access by the Faculty Publications at Scholarship Archive. It has been accepted for inclusion in Faculty Scholarship by an authorized administrator of Scholarship Archive. For more information, please contact [email protected]. Authors Anthony D. Wagner, Richard J. Bonnie, BJ Casey, Andre Davis, David L. Faigman, Morris B. Hoffman, Owen D. Jones, Read Montague, Stephen J. Morse, Marcus E. Raichle, Jennifer A. Richeson, Elizabeth S. Scott, Laurence Steinberg, Kim Taylor-Thompson, and Gideon Yaffe This working paper is available at Scholarship Archive: https://scholarship.law.columbia.edu/faculty_scholarship/ 2015 Attached hereto: fMRI and Lie Detection A Knowledge Brief of the MacArthur Foundation Research Network on Law and Neuroscience Cite as: Anthony Wagner, Richard J. -
Micro-Expression Extraction for Lie Detection Using Eulerian Video (Motion and Color) Magnification
Master Thesis Electrical Engineering Micro-Expression Extraction For Lie Detection Using Eulerian Video (Motion and Color) Magnification Submitted By Gautam Krishna , Chavali Sai Kumar N V , Bhavaraju Tushal , Adusumilli Venu Gopal , Puripanda This thesis is presented as part of Degree of Master of Sciences in Electrical Engineering BLEKINGE INSTITUTE OF TECHNOLOGY AUGUST,2014 Supervisor : Muhammad Shahid Examiner : Dr. Benny L¨ovstr¨om Department of Applied Signal Processing Blekinge Institute of Technology; SE-371 79, Karlskrona, Sweden. This thesis is submitted to the Department of Applied Signal Processing at Blekinge Institute of Technology in partial fulfilment of the requirements for the degree of Master of Sciences in Electrical Engineering with emphasis on Signal Processing. Contact Information Authors: Gautam Krishna.Chavali E-mail: [email protected] Sai Kumar N V.Bhavaraju E-mail: [email protected] Tushal.Adusumilli E-mail: [email protected] Venu Gopal.Puripanda E-mail: [email protected] University Advisor: Mr. Muhammad Shahid Department of Applied Signal Processing Blekinge Institute of Technology E-mail: [email protected] Phone:+46(0)455-385746 University Examiner: Dr. Benny L¨ovstr¨om Department of Applied Signal Processing Blekinge Institute of Technology E-mail: [email protected] Phone: +46(0)455-38704 School of Electrical Engineering Blekinge Institute of Technology Internet : www.bth.se/ing SE-371 79, Karlskrona Phone : +46 455 38 50 00 Sweden. Abstract Lie-detection has been an evergreen and evolving subject. Polygraph techniques have been the most popular and successful technique till date. The main drawback of the polygraph is that good results cannot be attained without maintaining a physical con- tact, of the subject under test.