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Spatial and Temporal Crowding in the Recognition of Words and Faces

Faces and words are very different, but are they identified the same way? Previous studies indicate that both faces and words are recognized by-their parts. Here, we study the effects of both spatial and temporal crowding on face and word recognition, supposing that in order to recognize these objects we must isolate the objects in time and their parts (letters and facial features) in space. Using RSVP in the peripheral visual field, we measured the proportion of words and faces correctly identified as a function of part-to-part spacing and presentation rate. We reject the hypothesis that the spatial and temporal isolation processes are statistically independent, and show that while faces require more time and larger spacings between parts for recognition, the space-time tradeoff is identical for both object types.