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Updated: Jan 21, 2026

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Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
Published on: December 24, 2015
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New signal detection theory-based framework for eyewitness performance in lineups.
Jungwon Lee1, Steven D Penrod1
1Department of Psychology.
Law and Human Behavior
|August 2, 2019
Summary
The new Multi-d' model improves eyewitness performance analysis in lineups by accounting for filler influence. This signal detection theory (SDT) framework offers better insights into eyewitness identification accuracy.
Area of Science:
- Cognitive Psychology
- Forensic Psychology
- Decision Science
Background:
- Signal detection theory (SDT) is used to study eyewitness performance.
- Current SDT measures are suitable for show-ups but not lineups due to neglecting filler roles.
- A new SDT-based framework, the Multi-d' model, is introduced for lineup analysis.
Purpose of the Study:
- Introduce and apply the Multi-d' model for analyzing eyewitness performance in lineups.
- Investigate factors influencing eyewitness discriminability, including lineup bias and filler selection.
- Compare eyewitness performance in show-ups versus lineups using the Multi-d' model.
Main Methods:
- Applied the Multi-d' model to analyze eyewitness performance in lineups.
- Examined the impact of filler selection (match-to-description vs. match-to-suspect).
- Investigated effects of lineup bias, eyewitness confidence, and presentation modes (simultaneous vs. sequential).
Main Results:
- The Multi-d' model reveals discriminability is influenced by fillers.
- Eyewitness decisions in lineups involve both detection and identification processes.
- The model provides multiple discriminability measures for detailed eyewitness performance analysis.
Conclusions:
- The Multi-d' model is a valuable tool for understanding eyewitness performance in lineups.
- This framework can be applied to various compound decision-making tasks.
- It enhances the analysis of eyewitness identifications by incorporating filler effects.
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