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Updated: Jun 30, 2026

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
Published on: December 24, 2015
Improving the quality of facial composites using a holistic cognitive interview
Charlie D Frowd1, Vicki Bruce, Ashley J Smith
1School of Psychology, University of Central Lancashire, Preston, United Kingdom. cfrowd@uclan.ac.uk
The novel holistic Cognitive Interview (H-CI) significantly improves facial composite accuracy for criminal identification. Composites created using H-CI were recognized over four times more often than those from standard Cognitive Interview (CI).
Area of Science:
- Psychology
- Forensic Science
- Cognitive Science
Background:
- Witnesses describe suspects and create facial composites using the Cognitive Interview (CI).
- Focusing on global facial aspects, rather than features, aids recognition and composite quality.
- The CI enhances the effectiveness of composite generation systems.
Purpose of the Study:
- To evaluate a novel "holistic" Cognitive Interview (H-CI) for improving facial composite creation.
- To assess if H-CI enhances the recognition of criminal suspects compared to standard CI.
Main Methods:
- Participants viewed a target video and later constructed a facial composite using either CI or H-CI.
- The H-CI included a descriptive phase (CI) and a recognition-enhancing phase with holistic properties.
- A standard composite system (PRO-fit) was used for all participants.
Main Results:
- Facial composites created after H-CI were correctly named over four times more often than those after CI.
- Improvements in composite quality were observed in both internal and external facial areas.
- H-CI led to a substantial increase in suspect identification accuracy.
Conclusions:
- The holistic Cognitive Interview (H-CI) significantly improves facial composite quality and recognition accuracy.
- H-CI offers a promising method for enhancing criminal suspect identification in police investigations.
- Attributing holistic properties during interviews can optimize facial composite generation.
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