AbstractPrevious research indicates angry expressions are detected faster than happy ones, but most data concern schematic faces. The present study looks into the differences in visual search performance in a sample of adults confronted with real neutral, angry, and happy faces of 9 different individuals. Participants searched for a discrepant happy or angry face among neutral or emotional faces. We compared detection speed and accuracy between the angry and happy discrepant face conditions. We measured state and trait anxiety with the State and Trait Anxiety Inventory (Spielberger, 1983; Pitariu & Peleasa, 2007) and looked for anxiety modulation on search. Results suggested angry faces were detected more efficiently and no modulation by an...
Three experiments examined the cultural relativity of emotion recognition using the visual search ta...
Accurate recognition of the people we encounter is important for successful navigation of many aspec...
The ability to rapidly detect facial expressions of anger and threat over other salient expressions ...
AbstractPrevious research indicates angry expressions are detected faster than happy ones, but most ...
Previous research has provided inconsistent results regarding visual search for emotional faces, yie...
Prior reports of preferential detection of emotional expressions in visual search have yielded incon...
AbstractThe facial expression of anger is considered a salient signal of threat that elicits prefere...
Previous research has provided inconsistent results regarding visual search for emotional faces, yie...
The rapid detection of facial expressions of anger or threat has obvious adaptive value. In this stu...
Previous research has suggested that in crowds of faces angry faces are detected fastest, whereas, o...
Search asymmetries exist in visual search tasks and categorisation tasks for angry and happy faces, ...
Past literature has indicated that face inversion either attenuates emotion detection advantages in ...
Recently, D.V. Becker, Anderson, Mortensen, Neufeld, and Neel (2011) proposed recommendations to avo...
Recent studies of the face in the crowd effect, the faster detection of angry than of happy faces in...
Recently, D.V. Becker, Anderson, Mortensen, Neufeld, and Neel (2011) proposed recommendations to avo...
Three experiments examined the cultural relativity of emotion recognition using the visual search ta...
Accurate recognition of the people we encounter is important for successful navigation of many aspec...
The ability to rapidly detect facial expressions of anger and threat over other salient expressions ...
AbstractPrevious research indicates angry expressions are detected faster than happy ones, but most ...
Previous research has provided inconsistent results regarding visual search for emotional faces, yie...
Prior reports of preferential detection of emotional expressions in visual search have yielded incon...
AbstractThe facial expression of anger is considered a salient signal of threat that elicits prefere...
Previous research has provided inconsistent results regarding visual search for emotional faces, yie...
The rapid detection of facial expressions of anger or threat has obvious adaptive value. In this stu...
Previous research has suggested that in crowds of faces angry faces are detected fastest, whereas, o...
Search asymmetries exist in visual search tasks and categorisation tasks for angry and happy faces, ...
Past literature has indicated that face inversion either attenuates emotion detection advantages in ...
Recently, D.V. Becker, Anderson, Mortensen, Neufeld, and Neel (2011) proposed recommendations to avo...
Recent studies of the face in the crowd effect, the faster detection of angry than of happy faces in...
Recently, D.V. Becker, Anderson, Mortensen, Neufeld, and Neel (2011) proposed recommendations to avo...
Three experiments examined the cultural relativity of emotion recognition using the visual search ta...
Accurate recognition of the people we encounter is important for successful navigation of many aspec...
The ability to rapidly detect facial expressions of anger and threat over other salient expressions ...