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Related Experiment Video

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Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

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Validating a multinomial processing tree model for measuring confidence in lineups using a post-response feedback

Raoul Bell¹, Nicola Marie Menne², Axel Buchner²

¹Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. raoul.bell@hhu.de.

Cognitive Research: Principles and Implications

|March 16, 2026

Summary

This summary is machine-generated.

We developed a new lineup confidence model to measure eyewitness confidence alongside cognitive processes. This model accurately assesses confidence without affecting the measurement of detection or selection processes.

Keywords:

Confidence judgements Eyewitness identification Lineups Multinomial processing tree model Post-identification feedback

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Area of Science:

Psychology
Eyewitness Identification Research

Background:

Confidence in eyewitness lineup responses is crucial for legal and research applications.
Existing models like the two-high threshold eyewitness identification model measure cognitive processes but not confidence.

Purpose of the Study:

To introduce and validate the lineup confidence model, an extension of the two-high threshold model.
To incorporate the measurement of confidence into eyewitness identification models.
To examine how confidence relates to underlying cognitive processes in lineup responses.

Main Methods:

Developed the lineup confidence model, extending the two-high threshold eyewitness identification model.
Conducted an experiment with a large sample size (N=1565).
Used post-response feedback as a manipulation to influence confidence levels.

Main Results:

Confidence showed a predictable pattern: detection-based and biased selection responses yielded higher confidence than guessing-based responses.
Post-response feedback selectively influenced confidence.
The model demonstrated that confidence can be measured without compromising the assessment of underlying cognitive processes (detection, selection, guessing).

Conclusions:

The validated lineup confidence model successfully measures confidence alongside key cognitive processes in eyewitness identification.
This model offers a valuable tool for investigating factors influencing eyewitness confidence.
Future research can utilize this model to explore how lineup characteristics and external factors impact confidence related to underlying response processes.