Facial Expressions of Emotion: Are Angry Faces Detected More Efficiently?

Facial Expressions of Emotion: Are Angry Faces Detected More Efficiently?

2000 January 1; 14(1): 61–92. | Elaine Fox, Victoria Lester, Riccardo Russo, R.J. Bowles, Alessio Pichler, and Kevin Dutton
The study investigates the efficiency of detecting facial expressions of anger compared to happiness using a visual search task. Four main findings were observed: (1) Participants were slower to detect the absence of a discrepant face when the faces displayed angry or sad/angry expressions compared to happy expressions. (2) Participants were faster to detect a discrepant face when it displayed an angry rather than a happy expression. (3) These patterns were not apparent when faces were inverted or when only the mouth was presented. (4) Search slopes for angry targets were significantly lower than for happy targets, indicating that detection of angry facial expressions is fast and efficient. The results suggest that angry faces are detected more quickly and accurately, but do not "pop out" in the traditional sense. The study also examines the role of emotional expression in face detection, finding that schematic faces with angry expressions are detected more efficiently than those with happy expressions, supporting the hypothesis that biologically significant stimuli like angry faces are processed more rapidly.The study investigates the efficiency of detecting facial expressions of anger compared to happiness using a visual search task. Four main findings were observed: (1) Participants were slower to detect the absence of a discrepant face when the faces displayed angry or sad/angry expressions compared to happy expressions. (2) Participants were faster to detect a discrepant face when it displayed an angry rather than a happy expression. (3) These patterns were not apparent when faces were inverted or when only the mouth was presented. (4) Search slopes for angry targets were significantly lower than for happy targets, indicating that detection of angry facial expressions is fast and efficient. The results suggest that angry faces are detected more quickly and accurately, but do not "pop out" in the traditional sense. The study also examines the role of emotional expression in face detection, finding that schematic faces with angry expressions are detected more efficiently than those with happy expressions, supporting the hypothesis that biologically significant stimuli like angry faces are processed more rapidly.
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