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Does a Judicial Warning Improve Defendant-Culprit Matching?

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Title: Does a Judicial Warning Improve Defendant-Culprit Matching?
Authors: Thompson, W. Burt, Dunkelberger, Nicole, Vescio, Salvatore, Elling, Claire
Source: Applied Cognitive Psychology. Sep/Oct2016, Vol. 30 Issue 5, p757-767. 11p.
Subjects: Criminal investigation, Videos, Evidence, Receiver operating characteristic curves, Matching Familiar Figures Test
Abstract: During a trial, jurors may be asked to compare the defendant with video of the culprit. Yet matching unfamiliar people in this manner can be difficult and error-prone. Judges may warn jurors about the dangers of identification from video images, but the effect of warnings is unknown. Here we report two studies that assessed the effect of warning instructions on defendant-culprit matching. In Experiment 1, college students read either control, warning, or illustrated warning instructions before deciding if a defendant seen in one video matched the culprit in another video. Experiment 2 compared control and warning instructions in a sample of Amazon Mechanical Turk workers. Matching accuracy in both experiments was poor, and warnings did not consistently improve performance or make participants more cautious. These results do not support the supposition that warning instructions help jurors compare the defendant to images of the culprit.Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Copyright of Applied Cognitive Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Does a Judicial Warning Improve Defendant-Culprit Matching?
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  Data: <searchLink fieldCode="JN" term="%22Applied+Cognitive+Psychology%22">Applied Cognitive Psychology</searchLink>. Sep/Oct2016, Vol. 30 Issue 5, p757-767. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Criminal+investigation%22">Criminal investigation</searchLink><br /><searchLink fieldCode="DE" term="%22Videos%22">Videos</searchLink><br /><searchLink fieldCode="DE" term="%22Evidence%22">Evidence</searchLink><br /><searchLink fieldCode="DE" term="%22Receiver+operating+characteristic+curves%22">Receiver operating characteristic curves</searchLink><br /><searchLink fieldCode="DE" term="%22Matching+Familiar+Figures+Test%22">Matching Familiar Figures Test</searchLink>
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  Data: During a trial, jurors may be asked to compare the defendant with video of the culprit. Yet matching unfamiliar people in this manner can be difficult and error-prone. Judges may warn jurors about the dangers of identification from video images, but the effect of warnings is unknown. Here we report two studies that assessed the effect of warning instructions on defendant-culprit matching. In Experiment 1, college students read either control, warning, or illustrated warning instructions before deciding if a defendant seen in one video matched the culprit in another video. Experiment 2 compared control and warning instructions in a sample of Amazon Mechanical Turk workers. Matching accuracy in both experiments was poor, and warnings did not consistently improve performance or make participants more cautious. These results do not support the supposition that warning instructions help jurors compare the defendant to images of the culprit.Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Applied Cognitive Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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