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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Bibliographic Details

Published in:	Journal of Nonverbal Behavior Vol. 49; no. 1; pp. 155 - 170
Main Authors:	Gustafsson, Philip U., Lachmann, Tim, Laukka, Petri
Format:	Article
Published:	Springer Nature Mar2025
Subjects:	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
Online Access:	View this record in EBSCOhost