Do Lie Detection Tools Really Catch Liars? A Guide for Forensic Professionals
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Artigo Outros |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Forensic Sciences, Medical Law and Bioethics |
Texto Completo: | https://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/708 |
Resumo: | Lying is ubiquitous in every society. However, in forensic contexts lies must be revealed so that investigations/judgments can be fair and effective. For this reason, distinct tools (verbal and nonverbal) of lie detection were examined. CBCA and RM showed the best performance in distinguishing between truth and lie within verbal tools. Lack of empirical support made SCAN not recommended for lie detection applications. Moreover, studies have shown that people guided by BAI are less accurate in detecting lies than untrained people. Ekman’s Deception Theory (EDT) showed more effective predictions about nonverbal deception cues than BAI. However, the lack of standardization in the use of EDT predictions to detect lies can be seen as a weakness of the method. Future efforts may be aimed at developing a tool that uses both verbal and nonverbal predictions to obtain greater accuracy in detecting lies than currently available methods. |
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Brazilian Journal of Forensic Sciences, Medical Law and Bioethics |
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Do Lie Detection Tools Really Catch Liars? A Guide for Forensic ProfessionalsLie detectionDecepetionVerbal Credibility AssessmentNonverbal BehaviorForensic ContextLying is ubiquitous in every society. However, in forensic contexts lies must be revealed so that investigations/judgments can be fair and effective. For this reason, distinct tools (verbal and nonverbal) of lie detection were examined. CBCA and RM showed the best performance in distinguishing between truth and lie within verbal tools. Lack of empirical support made SCAN not recommended for lie detection applications. Moreover, studies have shown that people guided by BAI are less accurate in detecting lies than untrained people. Ekman’s Deception Theory (EDT) showed more effective predictions about nonverbal deception cues than BAI. However, the lack of standardization in the use of EDT predictions to detect lies can be seen as a weakness of the method. Future efforts may be aimed at developing a tool that uses both verbal and nonverbal predictions to obtain greater accuracy in detecting lies than currently available methods.Lying is ubiquitous in every society. However, in forensic contexts lies must be revealed so that investigations/judgments can be fair and effective. For this reason, distinct tools (verbal and nonverbal) of lie detection were examined. CBCA and RM showed the best performance in distinguishing between truth and lie within verbal tools. Lack of empirical support made SCAN not recommended for lie detection applications. Moreover, studies have shown that people guided by BAI are less accurate in detecting lies than untrained people. Ekman’s Deception Theory (EDT) showed more effective predictions about nonverbal deception cues than BAI. However, the lack of standardization in the use of EDT predictions to detect lies can be seen as a weakness of the method. Future efforts may be aimed at developing a tool that uses both verbal and nonverbal predictions to obtain greater accuracy in detecting lies than currently available methods.IPEBJ2020-06-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionRevisãoinfo:eu-repo/semantics/otherapplication/pdfhttps://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/70810.17063/bjfs9(3)y2020373-393Brazilian Journal of Forensic Sciences, Medical Law and Bioethics; v. 9 n. 3 (2020): Volume 9 - Número 3; 373-393Brazilian Journal of Forensic Sciences, Medical Law and Bioethics; Vol. 9 No. 3 (2020): Volume 9 - Número 3; 373-3932237-261Xreponame:Brazilian Journal of Forensic Sciences, Medical Law and Bioethicsinstname:Instituto Paulista de Estudos Bioéticos e Jurídicos (IPEBJ)instacron:IPEBJenghttps://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/708/895Copyright (c) 2020 Brazilian Journal of Forensic Sciences, Medical Law and Bioethicshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSalles, Bruno2021-04-22T12:23:08Zoai:bjfs:article/708Revistahttps://www.ipebj.com.br/bjfs/index.php/bjfs/homePRIhttps://www.ipebj.com.br/bjfs/index.php/bjfs/oai2237-261X2237-261Xopendoar:2021-04-22 12:23:08.966Brazilian Journal of Forensic Sciences, Medical Law and Bioethics - Instituto Paulista de Estudos Bioéticos e Jurídicos (IPEBJ)false |
dc.title.none.fl_str_mv |
Do Lie Detection Tools Really Catch Liars? A Guide for Forensic Professionals |
title |
Do Lie Detection Tools Really Catch Liars? A Guide for Forensic Professionals |
spellingShingle |
Do Lie Detection Tools Really Catch Liars? A Guide for Forensic Professionals Salles, Bruno Lie detection Decepetion Verbal Credibility Assessment Nonverbal Behavior Forensic Context |
title_short |
Do Lie Detection Tools Really Catch Liars? A Guide for Forensic Professionals |
title_full |
Do Lie Detection Tools Really Catch Liars? A Guide for Forensic Professionals |
title_fullStr |
Do Lie Detection Tools Really Catch Liars? A Guide for Forensic Professionals |
title_full_unstemmed |
Do Lie Detection Tools Really Catch Liars? A Guide for Forensic Professionals |
title_sort |
Do Lie Detection Tools Really Catch Liars? A Guide for Forensic Professionals |
author |
Salles, Bruno |
author_facet |
Salles, Bruno |
author_role |
author |
dc.contributor.author.fl_str_mv |
Salles, Bruno |
dc.subject.por.fl_str_mv |
Lie detection Decepetion Verbal Credibility Assessment Nonverbal Behavior Forensic Context |
topic |
Lie detection Decepetion Verbal Credibility Assessment Nonverbal Behavior Forensic Context |
dc.description.none.fl_txt_mv |
Lying is ubiquitous in every society. However, in forensic contexts lies must be revealed so that investigations/judgments can be fair and effective. For this reason, distinct tools (verbal and nonverbal) of lie detection were examined. CBCA and RM showed the best performance in distinguishing between truth and lie within verbal tools. Lack of empirical support made SCAN not recommended for lie detection applications. Moreover, studies have shown that people guided by BAI are less accurate in detecting lies than untrained people. Ekman’s Deception Theory (EDT) showed more effective predictions about nonverbal deception cues than BAI. However, the lack of standardization in the use of EDT predictions to detect lies can be seen as a weakness of the method. Future efforts may be aimed at developing a tool that uses both verbal and nonverbal predictions to obtain greater accuracy in detecting lies than currently available methods. Lying is ubiquitous in every society. However, in forensic contexts lies must be revealed so that investigations/judgments can be fair and effective. For this reason, distinct tools (verbal and nonverbal) of lie detection were examined. CBCA and RM showed the best performance in distinguishing between truth and lie within verbal tools. Lack of empirical support made SCAN not recommended for lie detection applications. Moreover, studies have shown that people guided by BAI are less accurate in detecting lies than untrained people. Ekman’s Deception Theory (EDT) showed more effective predictions about nonverbal deception cues than BAI. However, the lack of standardization in the use of EDT predictions to detect lies can be seen as a weakness of the method. Future efforts may be aimed at developing a tool that uses both verbal and nonverbal predictions to obtain greater accuracy in detecting lies than currently available methods. |
description |
Lying is ubiquitous in every society. However, in forensic contexts lies must be revealed so that investigations/judgments can be fair and effective. For this reason, distinct tools (verbal and nonverbal) of lie detection were examined. CBCA and RM showed the best performance in distinguishing between truth and lie within verbal tools. Lack of empirical support made SCAN not recommended for lie detection applications. Moreover, studies have shown that people guided by BAI are less accurate in detecting lies than untrained people. Ekman’s Deception Theory (EDT) showed more effective predictions about nonverbal deception cues than BAI. However, the lack of standardization in the use of EDT predictions to detect lies can be seen as a weakness of the method. Future efforts may be aimed at developing a tool that uses both verbal and nonverbal predictions to obtain greater accuracy in detecting lies than currently available methods. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-29 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Revisão info:eu-repo/semantics/other |
format |
article other |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/708 10.17063/bjfs9(3)y2020373-393 |
url |
https://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/708 |
identifier_str_mv |
10.17063/bjfs9(3)y2020373-393 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.ipebj.com.br/bjfs/index.php/bjfs/article/view/708/895 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Brazilian Journal of Forensic Sciences, Medical Law and Bioethics https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Brazilian Journal of Forensic Sciences, Medical Law and Bioethics https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IPEBJ |
publisher.none.fl_str_mv |
IPEBJ |
dc.source.none.fl_str_mv |
Brazilian Journal of Forensic Sciences, Medical Law and Bioethics; v. 9 n. 3 (2020): Volume 9 - Número 3; 373-393 Brazilian Journal of Forensic Sciences, Medical Law and Bioethics; Vol. 9 No. 3 (2020): Volume 9 - Número 3; 373-393 2237-261X reponame:Brazilian Journal of Forensic Sciences, Medical Law and Bioethics instname:Instituto Paulista de Estudos Bioéticos e Jurídicos (IPEBJ) instacron:IPEBJ |
reponame_str |
Brazilian Journal of Forensic Sciences, Medical Law and Bioethics |
collection |
Brazilian Journal of Forensic Sciences, Medical Law and Bioethics |
instname_str |
Instituto Paulista de Estudos Bioéticos e Jurídicos (IPEBJ) |
instacron_str |
IPEBJ |
institution |
IPEBJ |
repository.name.fl_str_mv |
Brazilian Journal of Forensic Sciences, Medical Law and Bioethics - Instituto Paulista de Estudos Bioéticos e Jurídicos (IPEBJ) |
repository.mail.fl_str_mv |
|
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1697756592092479488 |