Laure Brimbal

Assistant Professor

Texas State University
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About

Laure Brimbal is an Assistant Professor at Texas State University, USA. Her research focuses on communicative resistance and cooperation in interviews, as well as the influence of biases in interrogation practices. Recent articles address topics such as the impact of storytelling on perceived deceit and the perceptions of truth-telling in children. Through her work, she aims to improve investigative interviewing techniques and promote procedural fairness in law enforcement.

Articles (9)

Year:

2025

Year:

2024

Year:

2024

Purpose The reverse order recall technique has been suggested as tool to improve deception detection accuracy. We conducted a registered replication and extension of Vrij et al., 2012's two experiments, testing whether the reverse order technique increases cues to deception in liars and accuracy in lie detection. Methods Following Vrij et al., 2012, in Experiment 1, participants were interviewed twice—once lying and once telling the truth—about a mission they completed. In both interviews, participants recounted their experience in chronological and reverse order. We coded interviews for cues to deception according to a cognitive approach: those included in Vrij et al., 2012 (replication) and others included in research on the cognitive load approach (extension). In Experiment 2, participants read two transcripts (replication) or viewed two videos (extension) from Experiment 1 and decided whether senders were lying or telling the truth in continuous (replication) and dichotomous judgements (extension). Results In Experiment 1, truth tellers were more detailed and plausible than liars. However, we failed to find the interaction between veracity and route recall reported by the original research on the replication or extensions cues. In Experiment 2, we only found an interaction between veracity and route recall for senders telling the truth on dichotomous lie detection judgement. However, this was not supported when examining overall accuracy. Conclusions These findings do not provide support for the reverse order technique as a tool to improve deception detection. We suggest further theoretical development before this technique is trained to practitioners.

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Collaborators (8)

A. M. Crossman

John Jay College of Criminal Justice

UNITED STATES
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Angela Jones

Associate Professor

Texas State University

UNITED STATES
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Elizabeth A. Quinby

-

UNITED STATES
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Sean Patrick Roche

Associate Professor

Texas State University

UNITED STATES
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Simon Oleszkiewicz

University of Amsterdam

NETHERLANDS
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M. Hunter Martaindale

-

UNITED STATES
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Timothy Luke

University of Gothenburg

SWEDEN
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Christian Meissner

Professor

Iowa State University

UNITED STATES
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