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The utility of multiple synthesized views in the recognition of unfamiliar faces

Jones, Scott P., Dwyer, Dominic M. ORCID: and Lewis, Michael B. ORCID: 2017. The utility of multiple synthesized views in the recognition of unfamiliar faces. Quarterly Journal of Experimental Physiology 70 (5) , pp. 906-918. 10.1080/17470218.2016.1158302

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The ability to recognise an unfamiliar individual on the basis of prior exposure to a photograph is notoriously poor and prone to errors, but recognition accuracy is improved when multiple photographs are available. In applied situations, when only limited real images are available (e.g. from a mugshot or CCTV image), the generation of new images might provide a technological prostheses for otherwise fallible human recognition. We report two experiments examining the effects of providing computer-generated additional views of a target face. In Experiment 1 provision of computer generated views supported better target face recognition than exposure to the target image alone, and equivalent performance to exposure of actual multiple photograph views. Experiment 2 replicated the advantage of providing generated views, but also indicated an advantage for multiple viewings of the single target photograph. These results strengthen the claim that identifying a target face can be improved by providing multiple synthesised views based on a single target image. In addition, our results suggest that the degree of advantage provided by synthesised views may be affected by the quality of synthesised material.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Psychology
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Additional Information: This is an Open Access article distributed under the terms of the Creative Commons Attribution License.
Publisher: SAGE
ISSN: 0144-8757
Funders: Engineering and Physical Sciences Research Council
Date of First Compliant Deposit: 30 March 2016
Date of Acceptance: 12 February 2016
Last Modified: 13 May 2023 11:31

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