Categorical perception of facial expressions of emotion: Evidence from multidimensional scaling

Abstract

Recent studies have shown that the perception of facial expressions of emotion fits the criteria of categorical perception (CP). The present paper tests whether a pattern of categories emerges when facial expressions are examined within the framework of multidimensional scaling. Blends of five “pure” expressions (Angry, Sad, Surprised, Happy, Neutral) were created using computerised “morphing”, providing the stimuli for four experiments. Instead of attempting to identify these stimuli, subjects described the proximities between them, using two quite different forms of data: similarity comparisons, and sorting partitions. Multidimensional scaling techniques were applied to integrate the resulting ordinal-level data into models which represent the interstimulus similarities at ratio level. All four experiments yielded strong evidence that the expressions were perceived in distinct categories. Adjacent pairs in the models were not spaced at equal intervals, but were clustered together as if drawn towards a “perceptual magnet”; within each category. We argue that spatial representations are compatible with CP effects, and indeed are a useful tool for investigating them.