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Enregistrement W310727770

Effects of Deception on Eyewitness Reports

2004· article· en· W310727770 sur OpenAlexaboutno aff
Daniel Yarmey

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomainePsychology
ThématiqueDeception detection and forensic psychology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSuspectPsychologyDeceptionEyewitness identificationCredibilityIdentification (biology)Social psychologyEyewitness testimonyDishonestyConvictionCriminologyLawRelation (database)Political science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Lay persons were presented with a written description of an armed robbery and shooting and asked to assume that they were witnesses to the crime. Participants were randomly assigned to a truthful role playing condition or a deceptive condition, and asked to indicate how they would respond to questions about perpetrator characteristics and lineup identification. Both truthful and deceptive witnesses had a bias toward overestimation of perpetrator characteristics of height, weight, and age. As expected, the bias was greater for deceptive witnesses than for truthful witnesses. However, this result was influenced by the gender of participants in the deceptive condition, and the duration of the criminal incident. Most truthful witnesses expected to be highly accurate and confident in their identification of the suspect from a photo lineup. Most deceptive witnesses indicated that they would say either that the suspect was not present or that they did not know. Contrary to expectations, a substantial percentage of deceptive witnesses indicated that they would correctly select the perpetrator in spite of possible retribution from friends of the suspect. The objectives of police interviews of eyewitnesses are to determine whether a crime has occurred; to obtain accurate descriptions and evidence which can identify the individual(s) involved; and to determine the credibility and truthfulness of the eyewitnesses (Gudjonsson, 1992; Kebbell & Wagstaff, 1997). Although eyewitness descriptions and identification are recognized to be fallible (Cutler & Penrod, 1995, Manitoba, 2001), it is also acknowledged that eyewitnesses are not always honest and cooperative with the police. Eyewitnesses may lie for a number of reasons, including fear of retribution if they tell the truth (Parliament & Yarmey, 2002; Yarmey, 2003a). The present investigation examined citizens' anticipated responses regarding their eyewitness reports if coerced to lie to protect a perpetrator, in contrast to being truthful and accurate as possible. Participants were given a description of an armed robbery and shooting of a store clerk and asked to assume that they were the sole eyewitness to the crime. Half of the participants were instructed to adopt the role of deceptive witnesses. They were told that they and their family would be harmed if they did not protect the perpetrators in their eyewitness reports. The remaining participants were asked to respond as truthful witnesses. Participants were instructed to state their expected accuracy/distortion of reports in estimating the height, weight, and age of a male and female perpetrator, their estimation of the duration of the incident, and their identification decision regarding a male suspect in a photo lineup. Because the information given to participants involved a written schematic description of an armed robbery and shooting, participants' reports about their likely behaviour would have to be based on their common knowledge of eyewitness testimony, personal values, and beliefs. Common knowledge understanding of the accuracy of eyewitness memory is dependant in part upon intuitions, past experiences, and confidence in perceptual and cognitive abilities (Yarmey, 2003b). Previous studies of common knowledge of eyewitness memory have followed a variety of approaches such as: the use of questionnaires (e.g., Brigham & WolfsKeil, 1983; Deffenbacher & Loftus, 1982; Rahaim & Brodsky, 1982; Yarmey & Jones, 1982, 1983); written descriptions of trials or videotaped trials (e.g., Hosch, Beck, & McIntyre, 1980; Wells, Lindsay, & Tousignant, 1980); prediction studies of the accuracy of eyewitness identification in staged crimes (e.g., Kassin, 1979; Leippe, Wells, & Ostrom, 1978); and the cross-examination of eyewitnesses to staged crimes (e.g., Wells, Lindsay & Ferguson, 1979; Lindsay, Wells, & Rumpel, 1981). These different procedures have found relatively consistent results, that is, laypersons (potential jurors) as well as police officers, lawyers, and trial judges have poor understanding of many issues involved in eyewitness memory (see also, Devenport, Cutler and Penrod, 1997; Stinson, Devenport, Cutler, & Kravitz, 1996,1997). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,747
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,310
Écart entre enseignants0,299 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2004
Routes d'admission1
Résumé présentoui

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