Recognising and reacting to angry and happy facial expressions: a diffusion model analysis.

Researchers have reported two biases in how people recognise and respond to angry and happy facial expressions: (1) a gender-expression bias (Becker et al. in J Pers Soc Psychol, 92(2):179-190, https://doi.org/10.1037/0022-3514.92.2.179 , 2007)-faster identification of male faces as angry and female faces as happy and (2) an approach-avoidance bias-faster avoidance of people who appear angry and faster approach responses people who appear happy (Heuer et al. in Behav Res The, 45(12):2990-3001, https://doi.org/10.1016/j.brat.2007.08.010 2007; Marsh et al. in Emotion, 5(1), 119-124, https://doi.org/10.1037/1528-3542.5.1.119 , 2005; Rotteveel and Phaf in Emotion 4(2):156-172, https://doi.org/10.1037/1528-3542.4.2.156 , 2004). The aim of the current research is to gain insight into the nature of such biases by applying the drift diffusion model to the results of an approach-avoidance task. Sixty-five participants (33 female) identified faces as either happy or angry by pushing and pulling a joystick. In agreement with the original study of this effect (Solarz 1960) there were clear participant gender differences-both the approach avoidance and gender-expression biases were larger in magnitude for female compared to male participants. The diffusion model results extend recent research (Krypotos et al. in Cogn Emot 29(8):1424-1444, https://doi.org/10.1080/02699931.2014.985635 , 2015) by indicating that the gender-expression and approach-avoidance biases are mediated by separate cognitive processes

In the eye of the beholder: Eye-tracking assessment of social information processing in aggressive behavior

# The Author(s) 2009. This article is published with open access at Springerlink.com Abstract Acording to social information processing theories, aggressive children are hypersensitive to cues of hostility and threat in other people’s behavior. However, even though there is ample evidence that aggressive children over-interpret others ’ behaviors as hostile, it is unclear whether this hostile attribution tendency does actually result from overattending to hostile and threatening cues. Since encoding is posited to consist of rapid automatic processes, it is hard to assess with the selfreport measures that have been used so far. Therefore, we used a novel approach to investigate visual encoding of social information. The eye movements of thirty 10–13 year old children with lower levels and thirty children with higher levels of aggressive behavior were monitored in real time with an eyetracker, as the children viewed ten different cartoon series of ambiguous provocation situations. In addition, participants answered questions concerning encoding and interpretation. Aggressive children did not attend more to hostile cues, nor attend less to non-hostile cues than non-aggressive children. Contrary, aggressive children looked longer at non-hostile cues, but nonetheless attributed more hostile intent than their non-aggressive peers. These findings contradict the traditional bottom-up processing hypotheses that aggressive behavior would be related with failure to attend to non-hostile cues. The findings seem best explained by topdown information processing, where aggressive children’s pre-existing hostile intent schemata (1) direct attention towards schema inconsistent nonhostile cues, (2) prevent further processing and recall of such schema-inconsistent information, and (3) lead to hostil

Predicting aggressive tendencies by visual attention bias associated with hostile emotions

[[abstract]]The goal of the current study is to clarify the relationship between social information processing (e.g., visual attention to cues of hostility, hostility attribution bias, and facial expression emotion labeling) and aggressive tendencies. Thirty adults were recruited in the eye-tracking study that measured various components in social information processing. Baseline aggressive tendencies were measured using the Buss-Perry Aggression Questionnaire (AQ). Visual attention towards hostile objects was measured as the proportion of eye gaze fixation duration on cues of hostility. Hostility attribution bias was measured with the rating results for emotions of characters in the images. The results show that the eye gaze duration on hostile characters was significantly inversely correlated with the AQ score and less eye contact with an angry face. The eye gaze duration on hostile object was not significantly associated with hostility attribution bias, although hostility attribution bias was significantly positively associated with the AQ score. Our findings suggest that eye gaze fixation time towards non-hostile cues may predict aggressive tendencies[[notice]]補正完