Face construction by selecting individual facial features rarely produces recognisable images. We have been developing a system called EvoFIT that works by the repeated selection and breeding of complete faces. Here, we explored two techniques. The first blurred the external parts of the face, to help users focus on the important central facial region. The second, manipulated an evolved face using psychologically-useful „holistic‟ scales: age, masculinity, honesty, etc. Using face construction procedures that mirrored policework, a large benefit emerged for the holistic scales; the benefit of blurring accumulated over the construction process. Performance was best using both techniques: EvoFITs were correctly named 24.5% on average compared to 4.2% for faces constructed using a typical „feature‟ system. It is now possible, therefore, to evolve a fairly recognisable composite from a 2 day memory of a face, the norm for real witnesses. A plausible model to account for the findings is introduced

Research has indicated that traditional methods for accessing facial memories usually yield unidentifiable images. Recent research, however, has made important improvements in this area to the witness interview, method used for constructing the face and recognition of finished composites. Here, we investigated whether three of these improvements would produce even-more recognisable images when used in conjunction with each other. The techniques are holistic in nature: they involve processes which operate on an entire face. Forty participants first inspected an unfamiliar target face. Nominally 24h later, they were interviewed using a standard type of cognitive interview (CI) to recall the appearance of the target, or an enhanced 'holistic' interview where the CI was followed by procedures for focussing on the target's character. Participants then constructed a composite using EvoFIT, a recognition-type system that requires repeatedly selecting items from face arrays, with 'breeding', to 'evolve' a composite. They either saw faces in these arrays with blurred external features, or an enhanced method where these faces were presented with masked external features. Then, further participants attempted to name the composites, first by looking at the face front-on, the normal method, and then for a second time by looking at the face side-on, which research demonstrates facilitates recognition. All techniques improved correct naming on their own, but together promoted highly-recognisable composites with mean naming at 74% correct. The implication is that these techniques, if used together by practitioners, should substantially increase the detection of suspects using this forensic method of person identification

Recognition memory for unfamiliar faces is facilitated when contextual cues (e.g. head pose, background environment, hair and clothing) are consistent between study and test. By contrast, inconsistencies in external features, especially hair, promote errors in unfamiliar face-matching tasks. For the construction of facial composites, as carried out by witnesses and victims of crime, the role of external features (hair, ears and neck) is less clear, although research does suggest their involvement. Here, over three experiments, we investigate the impact of external features for recovering facial memories using a modern, recognition-based composite system, EvoFIT. Participantconstructors inspected an unfamiliar target face and, one day later, repeatedly selected items from arrays of whole faces, with 'breeding', to 'evolve' a composite with EvoFIT; further participants (evaluators) named the resulting composites. In Experiment 1, the important internal-features (eyes, brows, nose and mouth) were constructed more identifiably when the visual presence of external features was decreased by Gaussian blur during construction: higher blur yielded more identifiable internal-features. In Experiment 2, increasing the visible extent of external features (to match the target's) in the presented face-arrays also improved internal-features quality, although less so than when external features were masked throughout construction. Experiment 3 demonstrated that masking external-features promoted substantially more identifiable images than using the previous method of blurring external-features. Overall, the research indicates that external features are a distractive rather than a beneficial cue for face construction; the results also provide a much better method to construct composites, one that should dramatically increase identification of offenders.There is a wealth of evidence to suggest that face recognition is a holistic process.For example, recognition of an individual facial feature (e.g., eye, nose or mouth) is more accurate when seen in the context of a complete face,

The police often ask witnesses and victims to construct a facial composite of people they have seen committing a crime. Research has suggested, however, that these images are of poor quality due to memory decay, the face construction method used and the presence of the external facial features (hair, ears, face shape). In the current work, the role of the most important external feature, hair, was explored. Participants were shown an unfamiliar target face and constructed a composite of it 24 hours later using a modern recognition‐based system and one of three types of hair: exact, similar or poor match to the target. Better‐matching hair was found to help participants construct a more identifiable central region of the face (eyes, brows, nose, mouth). The results highlight the importance of accurate hair at the start of the construction session. Implications for police practice are discussed.

Eyewitnesses often construct a ''composite'' face of a person they saw commit a crime, a picture that police use to identify suspects. We described a technique (Frowd, Bruce, Ross, McIntyre, & Hancock, 2007) based on facial caricature to facilitate recognition of these images: Correct naming substantially improves when composites are seen with progressive positive caricature, where distinctive information is enhanced, and then with progressive negative caricature, the opposite. Over the course of four experiments, the underpinnings of this mechanism were explored. Positive-caricature levels were found to be largely responsible for improving naming of composites, with some benefit from negative-caricature levels. Also, different frame-presentation orders (forward, reverse, random, repeated) facilitated equivalent naming benefit relative to static composites. Overall, the data indicate that composites are usually constructed as negative caricatures.