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Evaluating training methods for facial image comparison: the face shape strategy does not work.

Alice Towler, David White, Richard I Kemp

|June 13, 2014

Summary

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Training people to classify face shapes does not improve their ability to match unfamiliar faces. This common security training method is ineffective for enhancing identification accuracy in critical roles.

Area of Science:

Psychology
Forensic Science
Human Factors

Background:

Unfamiliar face matching is a critical task in many organizations, yet human accuracy is notoriously low.
Existing training programs aim to mitigate identification errors but often lack empirical validation.
A common training component involves teaching viewers to classify facial shapes.

Purpose of the Study:

To empirically evaluate the effectiveness of face shape classification as a training strategy for improving unfamiliar face matching accuracy.
To assess the reliability of face shape classification among participants and across repeated observations.

Main Methods:

Participants were trained to classify facial shapes.
Face matching accuracy was measured before and after training.

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Inter-rater and intra-rater reliability of face shape classifications were analyzed.

Main Results:

Face shape classification showed very low agreement, both within and between participants.
Repeated presentations of the same face image yielded inconsistent classifications.
Training in face shape classification did not lead to significant improvements in face matching accuracy.

Conclusions:

The strategy of classifying face shapes is unreliable and does not enhance the accuracy of unfamiliar face identification.
Current training methods relying on face shape classification are ineffective and require re-evaluation.
Further research is needed to develop validated training protocols for improving facial recognition skills.