Exploring the Motion Advantage in Developmental Prosopagnosia
There is evidence to suggest that people are better at recognising faces from moving images (videos) than from static images (photographs); an effect known as the motion advantage. This study aims to use eye-tracking technology to better understand why this effect occurs. Participants will be asked to complete a series of tasks which will assess their ability to learn new faces, recognise familiar (famous) faces and match faces based upon their identity. These tasks will use both moving and static images of faces. The researchers are interested in exploring whether individuals with developmental prosopagnosia benefit from motion information in the same way as 'typical' recognisers. The results could help us to better understand the recognition deficits which underlie developmental prosopagnosia, and may offer insights into effective treatments for this condition.
Examining Individual Differences in Face Recognition
Extensive evidence suggests that facial movement can facilitate face processing and recognition in the general population; an effect known as the motion advantage. However, studies have shown large individual differences in the motion advantage, suggesting that some individuals benefit more than others from the presence of movement during identity recognition. The aim of this study is to examine two factors which could potentially explain these individual differences: emotion recognition and biological motion processing. Participants will be asked to complete 5 cognitive tasks on a computer: a familiar face recognition task, 2 emotion recognition tasks, and 2 biological motion tasks. The results of this study could potentially inform our understanding of the mechanisms which underpin the movement advantage, and may offer insights into effective interventions to improve facial recognition ability.
We are currently looking for people with/without facial recognition difficulties to take part in this experiment. If you would be interested in taking part and are within travelling distance of Teesside University please contact Laura Sexton (L.Sexton@tees.ac.uk) for further details.