A formal signal detection model of eyewitness identification

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The project aims to aid in producing better procedures for the collection and assessment of eyewitness identification evidence. In a police line-up, a witness is asked to identify a perpetrator from a group of similar individuals. Applied research has focused on conditions that optimise witness performance but many of the conclusions from this research have been challenged on the basis that they use inappropriate measures of performance. Recent work has highlighted the usefulness of analyses based on the theory of signal detection. However, the line-up task does not fit easily within standard signal detection paradigms as it combines two tasks; detection and identification. The project aims to understand how these components work in order to measure witness performance.