Research focus: Face recognition and eyewitness testimony.
Eyewitness identification is a type of evidence on which all justice systems rely upon to identify the perpetrators of crime. Eyewitnesses frequently mistake innocent suspects for the culprits of an observed crime, and such misidentifications cause the wrongful convictions of many innocent people. Other eyewitness, on the other hand, make accurate person identifications.
The overall aim of my work is to gain a better insight into the underlying cognitive processes required to eyewitnesses and victims during an investigation, thereby improving the quality of the evidence provided. My PhD research will examine how individual differences in people’s ability to recognise faces correlate with the performance of eyewitnesses in relevant tasks.
The ultimate goal is to develop a screening tool for the police to use to identify witnesses who are most likely and most unlikely to be able to provide reliable evidence and make accurate identifications, helping police forces to develop major leads during an investigation with the most efficient use of time and resources.
Supervisor: Fiona Gabbert and Ashok Jansari