2014
DOI: 10.1037/a0036043
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Different faces in the crowd: A happiness superiority effect for schematic faces in heterogeneous backgrounds.

Abstract: Recently, D.V. Becker, Anderson, Mortensen, Neufeld, and Neel (2011) proposed recommendations to avoid methodological confounds in visual search studies using emotional photographic faces. These confounds were argued to cause the frequently observed Anger Superiority Effect (ASE), the faster detection of angry than happy expressions, and conceal a true Happiness Superiority Effect (HSE). In Experiment 1, we applied these recommendations (for the first time) to visual search among schematic faces that previousl… Show more

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Cited by 54 publications
(48 citation statements)
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“…The spatiotemporal pattern of ERP difference activations suggests preferential processing for happy relative to angry faces in all significant clusters. This result concurs with the so-called happy face advantage, meaning that happy or smiling faces are typically recognized more quickly and more accurately as well as detected faster (under certain conditions) than any other facial expression (e.g., Craig, Becker, & Lipp, 2014;Kirita & Endo, 1995). The observed happy face advantage also converges with an enhanced EPN previously shown for happy versus angry faces (Schacht & Sommer, 2009), or pleasant versus unpleasant affective scenes (e.g., ; but see Calvo & Beltr an, 2013).…”
Section: Influence Of Emotional Expressionsupporting
confidence: 85%
“…The spatiotemporal pattern of ERP difference activations suggests preferential processing for happy relative to angry faces in all significant clusters. This result concurs with the so-called happy face advantage, meaning that happy or smiling faces are typically recognized more quickly and more accurately as well as detected faster (under certain conditions) than any other facial expression (e.g., Craig, Becker, & Lipp, 2014;Kirita & Endo, 1995). The observed happy face advantage also converges with an enhanced EPN previously shown for happy versus angry faces (Schacht & Sommer, 2009), or pleasant versus unpleasant affective scenes (e.g., ; but see Calvo & Beltr an, 2013).…”
Section: Influence Of Emotional Expressionsupporting
confidence: 85%
“…We also noted that many of the original reports used faces in rigid rectangular arrays, allowing for the possibility that the surrounds were needed to aid segmentation in that special case. Craig, Becker, and Lipp (2014) performed a conjunction search investigation, comparing schematic happy and angry faces as targets among a common mixture of intermediate faces. Their distractors were either sad faces, with the happy face down-turned eyebrows and the angry face down-turned mouth, or ''scheming'' faces, with the angry face up-turned eyebrows and the happy-face up-turned mouth.…”
Section: Discussionmentioning
confidence: 99%
“…Although research findings suggest that emotionally negative faces such as angry faces draw more attention (e.g., Frischen et al, 2008 ; Huang et al, 2011 ), recent evidence suggests that positive emotion faces such as happy faces may be detected more readily than angry faces ( Becker et al, 2011 ; Craig et al, 2014 ). Taken further, the functional-evolutionary perspective suggests that it may be more adaptive to be sensitive to angry men than angry women because angry men possess greater physical threat because of their bigger stature compared to women ( Lassek and Gaulin, 2009 ).…”
Section: A Functional-evolutionary Perspective On Emotional Facesmentioning
confidence: 94%