The Relation Between Facial Recognition Abilities and Attentional Biases Towards Attractive Faces

Diplôme Master The Relation Between Facial Recognition Abilities and Attentional Biases Towards Attractive Faces eng 2024 author Prigoda Nicholas 0009-0007-2908-2360 920392 director Kerzel Dirk 0000-0002-2466-5221 603960 Section de psychologie (PSICO) <p>Previous literature has shown that attractive faces capture the attention of both males and females, with certain studies finding that males are more strongly attracted to attractive female faces. On the other hand, research has also shown inconclusive results when it comes to the relation between facial distinctiveness, attractiveness and people’s ability to recognize faces. The current study evaluates participant’s facial recognition abilities and then tests whether attentional biases exist among those who have high, or low, facial recognition abilities. Thirty-two participants aged between nineteen and thirty-one years old completed the Benton Facial Recognition test, revised, which evaluated their ability to recognize faces. Participants then completed a visual search paradigm where they were tasked with finding an emotional face in a grouping of neutral faces, and to correctly indicate the present emotion. Inconsistent with previous research, the current study finds that attractive faces are not effective at capturing attention, regardless of sex. The current study also finds that participant’s performance in a facial recognition task does not allow for significant predictions of their fixation duration on attractive and unattractive faces.</p> Dewey 150 Maîtrise universitaire en psychologie 108 Section de psychologie 71 false 28bfd568-b782-4a1c-b747-51f2ed0bb2b9 Master thesis Public memoirePrigodaNicholasFINAL.pdf 3383271 application/pdf 1df0dd86cb5e0b7c291264e57bbd68082b6ce7a126584c86cb44209f359c66a4 openAccess Faculté de psychologie et des sciences de l'éducation / Section de psychologie

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The Relation Between Facial Recognition Abilities and Attentional Biases Towards Attractive Faces				2024	133	230

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