![]() ![]() Međutim, sva tri emocionalna izraza prepoznata su točnije, ali ne i brže, kada je model koji iskazuje emociju bio ženskog spola. Nisu pronađene značajne interakcije između spola modela i promatrača ni u točnosti ni u brzini prepoznavanja. Također su bile točnije u prepoznavanju straha, a spolnih razlika u točnosti prepoznavanja tuge i ljutnje nije bilo. Rezultati su pokazali da su žene bile brže od muškaraca u prepoznavanju svih triju emocionalnih izraza. Testiranje je provedeno individualno, a učinkovitost je mjerena točnošću i brzinom prepoznavanja (vrijeme reakcije). Uzorak su činili studenti (29 muškaraca i 29 žena). Zadatak prepoznavanja emocija uključivao je 210 fotografija u boji iz baze podataka Karolinska Directed Emotional Faces (KDEF). ![]() Prema evolucijskoj hipotezi o prepoznavanju protivnikovih emocija, muški promatrači trebali bi biti učinkovitiji u prepoznavanju emocija s muških lica, a ženski promatrači u prepoznavanju emocija sa ženskih lica. Prema evolucijskoj hipotezi prijetnje, žene bi trebale biti brže i točnije u prepoznavanju facijalnih ekspresija straha i tuge, a muškarci u prepoznavanju ljutnje. U ovom istraživanju ispitivane su spolne razlike u točnosti i brzini prepoznavanja izraza tuge, ljutnje i straha s muških i ženskih lica. The gender-specific pattern in facial expression recognition found in this study does not completely corroborate the fitness threat hypothesis. However, all three emotional expressions were recognised more accurately, but not faster, when the model was female. No significant interactions were found between model and observer gender on either measure (accuracy and speed of recognition). They were also more accurate in recognizing fear, whereas there were no gender differences in accurate recognition of sadness and anger. The results showed that females were faster than males in recognizing all three facial expressions. Testing was conducted individually, and efficiency measured with accuracy and speed of recognition (reaction time). The sample consisted of university students (29 male and 29 female). The facial expression recognition task included 210 colour images from the Karolinska Directed Emotional Faces (KDEF) database. According to the evolutionary opponent’s emotion recognition, male observers should be more efficient in recognising emotions presented by male models, and female observers in recognising emotions presented by female models. According to the fitness threat hypothesis, females should be faster and more accurate in recognising emotional facial expressions of fear and sadness, whereas males should be faster and more accurate in recognising anger. ![]() This study investigated gender differences in the accuracy and speed of recognition of facial expressions of sadness, anger, and fear in male and female models showing these emotions. ![]()
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