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

Fox, Elaine; Lester, Victoria; Russo, Riccardo; Bowles, Robert J.; Pichler, Alessio; Dutton, Kevin · 2000 · OpenAlex-citations

DOI: 10.1080/026999300378996

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Summary

This study investigates the "face-in-the-crowd" effect, specifically examining whether angry facial expressions are detected more efficiently than happy or neutral ones. The research is motivated by evolutionary theories suggesting that rapid detection of threat holds adaptive value and may be linked to the etiology of anxiety disorders. While previous studies suggested that angry faces "pop out" of visual arrays automatically, results have been inconsistent and potentially confounded by low-level visual artifacts in photographic stimuli. To address these issues, the authors utilized schematic faces to control for visual features and employed a visual search task to distinguish between the "threat hypothesis" (angry faces capture attention more strongly) and the "emotionality hypothesis" (all emotional faces capture attention equally). The experimental design involved 45 undergraduate participants who completed a visual search task using schematic faces. Participants viewed displays of four faces and indicated whether all faces were the same or if one was different. The study manipulated the emotional expression of the faces (angry, happy, neutral) and the composition of the displays (e.g., one angry face among three neutral faces). Reaction times and accuracy were recorded to measure detection efficiency. The authors focused primarily on detection speed in "different" displays rather than dwell time in "same" displays, aiming to provide a clearer test of automatic threat detection with a larger sample size than previous studies. The results supported the threat hypothesis. In displays containing a single discrepant face, participants detected an angry face significantly faster than a happy face. Conversely, in displays where all faces were the same, participants were slower to confirm the absence of a discrepant face when the display consisted of angry faces compared to happy faces, suggesting that angry faces hold attention longer. Crucially, these effects were specific to upright faces; the patterns disappeared when faces were inverted or when only the mouth was presented in isolation. Additionally, search slopes for angry targets were significantly lower than for happy targets, indicating more efficient processing. However, the authors note that angry faces do not "pop out" in the strictest sense, as search times still increased with display complexity, though less so than for happy faces. The findings imply that the detection of angry facial expressions is fast and efficient, likely mediated by specialized neural mechanisms for threat processing. The specificity of the effect to upright, whole faces suggests that configural processing is necessary for this advantage. These results clarify the controversial "face-in-the-crowd" effect by demonstrating that while angry faces are detected more efficiently than happy ones, the process is not entirely preattentive or automatic in the traditional "pop-out" sense. This has implications for understanding attentional biases in anxiety disorders, where hypervigilance to threat may stem from these efficient detection mechanisms.

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• visual search