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The impact of fillers on lineup performance

Filler siphoning theory posits that the presence of fillers (known innocents) in a lineup protects an innocent suspect from being chosen by siphoning choices away from that innocent suspect. This mechanism has been proposed as an explanation for why simultaneous lineups (viewing all lineup members a...

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Autores principales: Wetmore, Stacy A., McAdoo, Ryan M., Gronlund, Scott D., Neuschatz, Jeffrey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5698388/
https://www.ncbi.nlm.nih.gov/pubmed/29214209
http://dx.doi.org/10.1186/s41235-017-0084-1
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author Wetmore, Stacy A.
McAdoo, Ryan M.
Gronlund, Scott D.
Neuschatz, Jeffrey S.
author_facet Wetmore, Stacy A.
McAdoo, Ryan M.
Gronlund, Scott D.
Neuschatz, Jeffrey S.
author_sort Wetmore, Stacy A.
collection PubMed
description Filler siphoning theory posits that the presence of fillers (known innocents) in a lineup protects an innocent suspect from being chosen by siphoning choices away from that innocent suspect. This mechanism has been proposed as an explanation for why simultaneous lineups (viewing all lineup members at once) induces better performance than showups (one-person identification procedures). We implemented filler siphoning in a computational model (WITNESS, Clark, Applied Cognitive Psychology 17:629–654, 2003), and explored the impact of the number of fillers (lineup size) and filler quality on simultaneous and sequential lineups (viewing lineups members in sequence), and compared both to showups. In limited situations, we found that filler siphoning can produce a simultaneous lineup performance advantage, but one that is insufficient in magnitude to explain empirical data. However, the magnitude of the empirical simultaneous lineup advantage can be approximated once criterial variability is added to the model. But this modification works by negatively impacting showups rather than promoting more filler siphoning. In sequential lineups, fillers were found to harm performance. Filler siphoning fails to clarify the relationship between simultaneous lineups and sequential lineups or showups. By incorporating constructs like filler siphoning and criterial variability into a computational model, and trying to approximate empirical data, we can sort through explanations of eyewitness decision-making, a prerequisite for policy recommendations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s41235-017-0084-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-56983882017-12-04 The impact of fillers on lineup performance Wetmore, Stacy A. McAdoo, Ryan M. Gronlund, Scott D. Neuschatz, Jeffrey S. Cogn Res Princ Implic Original Article Filler siphoning theory posits that the presence of fillers (known innocents) in a lineup protects an innocent suspect from being chosen by siphoning choices away from that innocent suspect. This mechanism has been proposed as an explanation for why simultaneous lineups (viewing all lineup members at once) induces better performance than showups (one-person identification procedures). We implemented filler siphoning in a computational model (WITNESS, Clark, Applied Cognitive Psychology 17:629–654, 2003), and explored the impact of the number of fillers (lineup size) and filler quality on simultaneous and sequential lineups (viewing lineups members in sequence), and compared both to showups. In limited situations, we found that filler siphoning can produce a simultaneous lineup performance advantage, but one that is insufficient in magnitude to explain empirical data. However, the magnitude of the empirical simultaneous lineup advantage can be approximated once criterial variability is added to the model. But this modification works by negatively impacting showups rather than promoting more filler siphoning. In sequential lineups, fillers were found to harm performance. Filler siphoning fails to clarify the relationship between simultaneous lineups and sequential lineups or showups. By incorporating constructs like filler siphoning and criterial variability into a computational model, and trying to approximate empirical data, we can sort through explanations of eyewitness decision-making, a prerequisite for policy recommendations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s41235-017-0084-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2017-11-22 /pmc/articles/PMC5698388/ /pubmed/29214209 http://dx.doi.org/10.1186/s41235-017-0084-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Wetmore, Stacy A.
McAdoo, Ryan M.
Gronlund, Scott D.
Neuschatz, Jeffrey S.
The impact of fillers on lineup performance
title The impact of fillers on lineup performance
title_full The impact of fillers on lineup performance
title_fullStr The impact of fillers on lineup performance
title_full_unstemmed The impact of fillers on lineup performance
title_short The impact of fillers on lineup performance
title_sort impact of fillers on lineup performance
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5698388/
https://www.ncbi.nlm.nih.gov/pubmed/29214209
http://dx.doi.org/10.1186/s41235-017-0084-1
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