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Abstract:
Using a delayed visual search paradigm, we showed that non-rigidly moving faces are better encoded than static faces [1]. In this task, observers learned one dynamic and one static face, and then searched for either target in a static search array. Here, we used high (HSF) and low (LSF) frequency filtered faces during visual search to investigate whether the behavioural difference lies in the mental representation of different spatial frequencies for dynamically and statically encoded faces. It is thought that high spatial frequencies mediate featural processing, whereas low spatial frequencies mediate configural processing [2]. In Experiment 1 (N=12), we used a learning procedure which only required observers to rate the targets along different character traits. We found no advantage for dynamically learned faces, but HSF faces were recognized more accurately (p
