Hayley Ness

A forensically valid comparison of facial composite systems

An evaluation of E-FIT, PROfit, Sketch, Photofit and EvoFIT composite construction techniques was carried out in a “forensically friendly format”: composites of unfamiliar targets were constructed from memory following a 3–4-hour delay using a Cognitive Interview and experienced operators. The main dependent variable was spontaneous naming and overall performance was low (10% average naming rate). E-FITs were named better than all techniques except PROfit, though E-FIT was superior to PROfit when the target was more distinctive. E-FIT, PROfit and Sketch were similar overall in a composite sorting task, but Sketch emerged best for more average-looking targets. Photofit performed poorly, as did EvoFIT, an experimental system. Overall, facial distinctiveness was found to be an important factor for composite naming.

Parallel approaches to composite production: interfaces that behave contrary to expectation

This paper examines two facial composite systems that present multiple faces during construction to more closely resemble natural face processing. A ‘parallel’ 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 ‘serial’ 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 novel ‘holistic’ interview.

Are two views better than one? Investigating three-quarter view facial composites

Purpose – The introduction of a three-quarter-view database in the PRO-fit facial-composite system has enabled an investigation into the effects of image view in face construction. The purpose of this paper is to examine the impact of constructing full-face and three-quarter-view composites under different encoding conditions. It also examines the potential value of three-quarter-view composites that can be generated automatically from a front-view composite. The authors also investigate whether there is an identification benefit for presenting full-face and three-quarter composites together. Design/methodology/approach – Three experiments examine the impact of encoding conditions on composite construction and presentation of composites at the evaluation stage. Findings – The work revealed that while standard full-face composites perform well when all views of the face have been encoded, care should be taken when a person has only seen one view. When a witness has seen a side view of a suspect, a three-qu...

Over-Observed? What is the Quality of CCTV in this New Digital Legal World?

Abstract Poor quality CCTV evidence requires a witness to make an identification of the suspect. Good quality CCTV images are often left to the jury, who are unfamiliar with the face. Psychological research has demonstrated that identification procedures for both known and previously unknown suspects should be very different. A visual comparison of high quality imagery may suggest that a more reliable decision regarding identity will be made. However, studies indicate that when an assailant is unknown, identification is poor even when the image is of high quality, regardless of format. As such, research has demonstrated that recognizing or matching unfamiliar faces even in optimal conditions is an extremely error prone process. This paper examines the current legal framework for identification from imagery in the light of psychological research. Incorrect identifications may not necessarily be safeguarded against in some situations, although further research is needed to elucidate reliable identification methods for criminal prosecutions.