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Performance of typical and superior face recognisers on a novel interactive face matching procedure

Performance of typical and superior face recognisers on a novel interactive face matching procedure

Smith, Hariett M. J., Andrews, Sally, Baguley, Thom S., Colloff, Melissa F., Davis, Josh P. ORCID: 0000-0003-0017-7159, White, David and Flowe, Heather D. (2021) Performance of typical and superior face recognisers on a novel interactive face matching procedure. British Journal of Psychology. ISSN 0007-1269 (Print), 2044-8295 (Online) (In Press) (doi:https://doi.org/10.1111/bjop.12499)

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Abstract

Unfamiliar simultaneous face matching is error prone. Reducing incorrect identification decisions will positively benefit forensic and security contexts. The absence of view-independent information in static images likely contributes to the difficulty of unfamiliar face matching. We tested whether a novel interactive viewing procedure that provides the user with 3D structural information as they rotate a facial image to different orientations would improve face matching accuracy. We tested the performance of ‘typical’ (Experiment 1) and ‘superior’ (Experiment 2) face recognisers, comparing their performance using high quality (Experiment 3) and pixelated (Experiment 4) Facebook profile images. In each trial, participants responded whether two images featured the same person with one of these images being either a static face, a video providing orientation information, or an interactive image. Taken together, the results show that fluid orientation information and interactivity prompt shifts in criterion and support matching performance. Because typical and superior face recognisers both benefited from the structural information provided by the novel viewing procedures, our results point to qualitatively similar reliance on pictorial encoding in these groups. This also suggests that interactive viewing tools can be valuable in assisting face matching in high performing practitioner groups.

Item Type: Article
Uncontrolled Keywords: face recognition, face matching, super-recognisers
Subjects: H Social Sciences > H Social Sciences (General)
Faculty / Department / Research Group: Faculty of Education, Health & Human Sciences
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development > Centre for Thinking and Learning
Last Modified: 15 Jul 2021 14:17
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/31378

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