Differential attentional guidance by unattended faces expressing positive and negative emotion

By J. Eastwood, Daniel Smilek, P. Merikle. Perception & Psychophysics, 2001

630 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9dd9e154c79176b7df5f1e52e5d534089b302f1d

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In Cognitive Neuroscience

Citations in the corpus

Preattentive face processing: What do visual search experiments with schematic faces tell us? (2007, methodology): “A few other visual search studies tested positive and negative faces within neutral crowds (e.g., Eastwood et al., 2001; Williams et al., 2005).”
The perception and categorisation of emotional stimuli: A review (2010, background): “In two very influential lines of research, Ekman (1972, 1992, Ekman & Friesen, 1975) and Izard (1971) have investigated the universality of the recognition of emotional facial expressions.”
The face wins: Stronger automatic processing of affect in facial expressions than words in a modified Stroop task (2008, background): “Visual search paradigms have demonstrated the ability of schematic emotional faces and particularly negative faces to capture attention (Eastwood, Smilek, & Merikle, 2001 ; Fox et al, 2000 ; Ohman, Lundqvist, & Esteves, 2001b ).”
What we fear most: A developmental advantage for threat-relevant stimuli (2013, background): “…researchers have suggested that threat-relevance, or the emotional content of the stimuli, is what captures attention (e.g., Calvo & Esteves, 2005; Eastwood, Smilek, & Merikle, 2003; Eastwood et al., 2001; Lipp & Derakshan, 2005; Lipp & Waters, 2007; Lundqvist & Öhman, 2005; Öhman et al., 2001).”
Attentional mechanisms in the generation of sympathy (2009, background): “Highly relevant affective stimuli are processed faster and hold attention longer than affectively neutral stimuli ( Eastwood, Smilek, & Merikle, 2001 ).”
Are you always on my mind? A review of how face perception and attention interact. (2007, background): “Studies using schematic stimuli suggest that angry faces may attract attention because of salient features, particularly the eyebrows (Lundqvist, Esteves, & Öhman, 1999), but that the presence of a correctly oriented facial configuration may also be essential (Eastwood et al., 2001; Fox et al., 2000”
Visual search (2010, background): “If half the items are dark green, then the slope of the RT × set size function will be cut approximately in half, compared to the situation where all items are the same color (Egeth, Virzi, & Garbart, 1984). If only 25% of items were dark green, the slope would be cut to one fourth of its unguided v”