Abstract
Human face-to-face interaction consists of both verbal and nonverbal communication such as facial expressions. Therefore many researchers have used facial expressions for human and computer interaction in order to realize a pleasant interaction with a computer system. However, there have been few researches about what kinds of faces should be suitable for human interfaces in terms of facial affect recognition. We conduct an experiment in which 30 subjects are asked to identify an upright face with a rotated one. The results indicate that the faces which express some affect clearly could be recognized more rapidly than the other ones. Facial expressions appropriate for human computer interfaces are discussed on the basis of the results.
