Machine Learning Predicts Accuracy in Eyewitnesses' Voices.

An important task in criminal justice is to evaluate the accuracy of eyewitness testimony. In this study, we examined if machine learning could be used to detect accuracy. Specifically, we examined if support vector machines (SVMs) could accurately classify testimony statements as correct or incorre...

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Detalles Bibliográficos

Publicado en:	Journal of Nonverbal Behavior Vol. 49; no. 1; pp. 155 - 170
Autores principales:	Gustafsson, Philip U., Lachmann, Tim, Laukka, Petri
Formato:	Artículo
Publicado:	Springer Nature Mar2025
Materias:	Confidence Memory Criminal justice system Receiver operating characteristic curves Prompts (Psychology) Research funding Research evaluation Descriptive statistics Support vector machines Physiological aspects of speech Conceptual structures Machine learning Algorithms Regression analysis
Acceso en línea:	Ver este registro en EBSCOhost