Literature DB >> 28395650

The Relationship Between Eyewitness Confidence and Identification Accuracy: A New Synthesis.

John T Wixted1, Gary L Wells2.   

Abstract

The U.S. legal system increasingly accepts the idea that the confidence expressed by an eyewitness who identified a suspect from a lineup provides little information as to the accuracy of that identification. There was a time when this pessimistic assessment was entirely reasonable because of the questionable eyewitness-identification procedures that police commonly employed. However, after more than 30 years of eyewitness-identification research, our understanding of how to properly conduct a lineup has evolved considerably, and the time seems ripe to ask how eyewitness confidence informs accuracy under more pristine testing conditions (e.g., initial, uncontaminated memory tests using fair lineups, with no lineup administrator influence, and with an immediate confidence statement). Under those conditions, mock-crime studies and police department field studies have consistently shown that, for adults, (a) confidence and accuracy are strongly related and (b) high-confidence suspect identifications are remarkably accurate. However, when certain non-pristine testing conditions prevail (e.g., when unfair lineups are used), the accuracy of even a high-confidence suspect ID is seriously compromised. Unfortunately, some jurisdictions have not yet made reforms that would create pristine testing conditions and, hence, our conclusions about the reliability of high-confidence identifications cannot yet be applied to those jurisdictions. However, understanding the information value of eyewitness confidence under pristine testing conditions can help the criminal justice system to simultaneously achieve both of its main objectives: to exonerate the innocent (by better appreciating that initial, low-confidence suspect identifications are error prone) and to convict the guilty (by better appreciating that initial, high-confidence suspect identifications are surprisingly accurate under proper testing conditions).

Keywords:  calibration; confidence and accuracy; eyewitness identification; eyewitness memory; lineups; wrongful convictions

Mesh:

Year:  2017        PMID: 28395650     DOI: 10.1177/1529100616686966

Source DB:  PubMed          Journal:  Psychol Sci Public Interest        ISSN: 1529-1006


  33 in total

1.  Retrospective Report Revisited: Long-Term Recall in European American Mothers Moderated by Developmental Domain, Child Age, Person, and Metric of Agreement.

Authors:  Marc H Bornstein; Diane L Putnick; Kyrsten M Costlow; Joan T D Suwalsky
Journal:  Appl Dev Sci       Date:  2018-07-24

2.  Why eyewitnesses fail.

Authors:  Thomas D Albright
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-25       Impact factor: 11.205

3.  Improving juror sensitivity to specific eyewitness factors: judicial instructions fail the test.

Authors:  Angela M Jones; Amanda N Bergold; Steven Penrod
Journal:  Psychiatr Psychol Law       Date:  2020-02-13

4.  Rats use memory confidence to guide decisions.

Authors:  Hannah R Joo; Hexin Liang; Jason E Chung; Charlotte Geaghan-Breiner; Jiang Lan Fan; Benjamin P Nachman; Adam Kepecs; Loren M Frank
Journal:  Curr Biol       Date:  2021-09-01       Impact factor: 10.834

5.  Toward a more comprehensive modeling of sequential lineups.

Authors:  David Kellen; Ryan M McAdoo
Journal:  Cogn Res Princ Implic       Date:  2022-07-22

6.  Norwegian judges' knowledge of factors affecting eyewitness testimony: a 12-year follow-up.

Authors:  Ludvig Daae Bjørndal; Lucy McGill; Svein Magnussen; Stéphanie Richardson; Renan Saraiva; Marie Stadel; Tim Brennen
Journal:  Psychiatr Psychol Law       Date:  2020-12-07

7.  Memory conformity for high-confidence recognition of faces.

Authors:  Weslley Santos Sousa; Antônio Jaeger
Journal:  Mem Cognit       Date:  2022-05-26

8.  Can confidence help account for and redress the effects of reading inaccurate information?

Authors:  Nikita A Salovich; Amalia M Donovan; Scott R Hinze; David N Rapp
Journal:  Mem Cognit       Date:  2020-09-22

9.  How Do Scientific Views Change? Notes From an Extended Adversarial Collaboration.

Authors:  Nelson Cowan; Clément Belletier; Jason M Doherty; Agnieszka J Jaroslawska; Stephen Rhodes; Alicia Forsberg; Moshe Naveh-Benjamin; Pierre Barrouillet; Valérie Camos; Robert H Logie
Journal:  Perspect Psychol Sci       Date:  2020-06-08

Review 10.  Sources of Metacognitive Inefficiency.

Authors:  Medha Shekhar; Dobromir Rahnev
Journal:  Trends Cogn Sci       Date:  2020-11-16       Impact factor: 20.229

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