Testing for dissociations between static and dynamic face matching and recognition in normal and abnormal face processin

DOI

Many studies have described a condition called 'prosopagnosia', in which individuals have specific difficulties recognising the faces of familiar people. Despite poor performance in recognition tasks using static faces, anecdotal evidence suggests that prosopagnosics can ameliorate their face recognition problems through the strategic use of 'dynamic cues' (such as idiosyncratic facial movements). Further, research with normal participants demonstrates that characteristic facial gestures and expressions can prove useful for accessing identity. Taken together, these studies suggest that different mechanisms may underlie facial recognition by static versus dynamic cues. The present study examines whether prosopagnosics can use facial motion information for recognition and matching tasks in a similar way to normal participants, despite their impairments in static face recognition and matching. If this is the case, we would expect prosopagnosics to perform better on matching and recognition tasks that use dynamic faces, compared to static faces. Support for this hypothesis would suggest value in therapies that help prosopagnosics to capitalise on facial motion cues. Such an approach might be usefully combined with static face therapy, to maximize prosopagnosics' coping with face recognition problems.

Accuracy and reaction time measures collected

Identifier
DOI https://doi.org/10.5255/UKDA-SN-850241
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=a5635e375d3e9ca7c947ba4e4a6cfec14b160deb293013d7bcb015e79cec5496
Provenance
Creator Tree, J, University of Exeter
Publisher UK Data Service
Publication Year 2009
Funding Reference Economic and Social Research Council
Rights Jeremy Tree, University of Exeter; The Data Collection is available for download to users registered with the UK Data Service.
OpenAccess true
Representation
Resource Type Numeric
Discipline Psychology; Social and Behavioural Sciences
Spatial Coverage United Kingdom