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Related Experiment Video

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Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies

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Face averages and multiple images in a live matching task.

Kay L Ritchie¹, Michael O Mireku¹, Robin S S Kramer¹

¹School of Psychology, University of Lincoln, UK.

British Journal of Psychology (London, England : 1953)

|April 5, 2019

Summary

Unfamiliar face matching accuracy was low, even with multiple images or face averages. These methods, effective in labs, did not improve real-world photo-ID verification performance in live matching tasks.

Keywords:

face averages face identification face matching face recognition live matching

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Area of Science:

Cognitive psychology
Forensic science
Human-computer interaction

Background:

Unfamiliar face matching is prone to errors.
Laboratory studies suggest multiple images or face averages improve matching accuracy.
Real-world applicability of these findings is unclear.

Purpose of the Study:

To evaluate the effectiveness of multiple images and face averages in live, real-world face matching tasks.
To assess performance in a realistic photo-ID verification scenario.
To determine if lab-based improvements translate to practical settings.

Main Methods:

1,999 participants completed two live face matching tasks.
Tested matching a single image against a live person.
Compared performance using four-image arrays and face averages versus single images.

Main Results:

Accuracy for single-image matching was 79.9%.
Multiple images yielded 82.4% accuracy, and face averages yielded 76.9% accuracy.
Neither multiple images nor face averages significantly improved live face matching performance compared to single images.

Conclusions:

Multiple images and face averages do not enhance performance in real-world live face matching.
Current photo-ID systems may not benefit from these advanced face matching techniques.
Further research is needed to improve the accuracy of live face verification.