Identifying and detecting facial expressions of emotion in peripheral vision.

ABSTRACT: Facial expressions of emotion are signals of high biological value. Whilst recognition of facial expressions has been much studied in central vision, the ability to perceive these signals in peripheral vision has only seen limited research to date, despite the potential adaptive advantages of such perception. In the present experiment, we investigate facial expression recognition and detection performance for each of the basic emotions (plus neutral) at up to 30 degrees of eccentricity. We demonstrate, as expected, a decrease in recognition and detection performance with increasing eccentricity, with happiness and surprised being the best recognized expressions in peripheral vision. In detection however, while happiness and surprised are still well detected, fear is also a well detected ex

SUBMITTER: Smith FW 

PROVIDER: S-EPMC5976168 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature