Greg Neil

My research interests primarily focus on learning and memory, and metacognition:

• Memory in forensic settings – witnesses of crime are frequently called upon to remember what they saw or heard. As such, I am interested in both face and voice memory, and of how forensically relevant factors might affect the accuracy of memory. I have also collaborated on several projects in which we have compared computers and humans on matching tasks, such as iris identification.
• Learning – the process by which humans learn, both deliberately (explicit learning) and incidentally (implicit learning). 
• Metacognition – the extent to which people can accurately evaluate their own memories and decisions. In other words, when somebody says they are sure they have seen a face before, how much can you trust that judgement?

I use a wide range of research methodologies in my research, with a particular focus on signal detection theory and ROC curve analysis.