Frowd, Charlie D.; Bruce, Vicki; Ness, Hayley; Bowie, Leslie; Paterson, Jenny; Thomson-Bogner, Claire; McIntyre, Alex and Hancock, Peter J. B.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1080/00140130601154855|
|Google Scholar:||Look up in Google Scholar|
This paper examines two facial composite systems that present multiple faces during construction to more closely resemble natural face processing. A ï¿½parallelï¿½ version of PRO-fit was evaluated, which presents facial features in sets of six or twelve, and EvoFIT, a system in development, which contains a holistic face model and an evolutionary interface. The PRO-fit parallel interface turned out not to be quite as good as the ï¿½serialï¿½ version as it appeared to interfere with holistic face processing. Composites from EvoFIT were named almost three times better than PRO-fit, but a benefit emerged under feature encoding, suggesting that recall has a greater role for EvoFIT than was previously thought. In general, an advantage was found for feature encoding, replicating a previous finding in this area, and also for a novelï¿½holisticï¿½ interview.
|Item Type:||Journal Article|
|Copyright Holders:||2007 Taylor & Francis|
|Keywords:||facial composites; witness; holistic; parallel presentation|
|Academic Unit/Department:||Faculty of Arts and Social Sciences (FASS) > Psychology
Faculty of Arts and Social Sciences (FASS)
|Interdisciplinary Research Centre:||Harm and Evidence Research Collaborative (HERC)
Centre for Policing Research and Learning (CPRL)
|Depositing User:||Hayley Ness|
|Date Deposited:||17 Feb 2011 10:50|
|Last Modified:||04 Oct 2016 10:49|
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