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• W2784689871 abstract "Introduction. Expressions of basic emotions are characteristic and universal for all races. All people can express them on face, using conscious and unconscious muscles, and recognize them at other people’s faces. Lower left temporal cortex, typically at the right side, memorizes and recognizes characteristic lineaments. It is not clearly stated how good is the usual ability to recognize emotions because of their shortness (micro expressions), and the recognition doesn’t have to be conscious willing process. We assumed that visual recognition of facial expressions is selected over recognition of emotions via auditory stimuli so we compared success in recognizing emotions in human faces and in classical music works. We also wanted to know if there is a difference in recognizing emotions between examinees at early and late puberty stages. Subjects and Methods. We surveyed 90 students attending the 5th grade of elementary school and 87 students attending the 3rd grade of high school from Osijek (Croatia), 177 students in total. The questionnaire consisted of three parts: the first part included basic information about examinees, and in the second and third part students had to link 8 photographs of different facial expressions and 8 pieces of classical music work with 8 associated emotions (worry, happiness, sadness, surprise, anxiety, anger, fear and jealousy). For each correct answer was given one point. Results. Median number of correct answers in recognizing emotions from facial expressions was 5 (95% CI 5 to 6). Emotion recognition based on classical music pieces was significantly less successful than recognition of emotions from facial expressions (median number of correct answers was 2 ; 95% CI 2 to 3 ; Wilcoxons’ P<0, 001). High school students did better in recognizing emotions from facial expressions than elementary school students (Mann-Whitney test, P=0, 001). Girls achieved better score than boys in recognizing emotions from both facial expression (Mann-Whitney test, P=0, 001) and musical pieces (Mann-Whitney test, P=0.020). Success in recognizing emotions from musical pieces was associated with higher math grades (Jonckheere-Terpstra test, P=0, 018). Conclusions. Emotions are far better recognized if presented on human faces than in music, possibly because emotion recognition based on face expressions is one of the oldest communicational skills in human society. Female dominance in emotion recognition could be respond to necessity of communication with the newborns during nursing time. Mastery of recognizing emotional content of music and mathematical skills both require ability of multivariable function handling and insight in abstract structures which might be the ground of the association of mathematics and musically expressed emotions." @default.
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• W2784689871 date "2009-01-01" @default.
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• W2784689871 title "Comparision of emotion recognition in facial expression and music" @default.
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