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Exploring the Relationship Between Fiction Reading and Emotion Recognition.
Schwering, Steven C; Ghaffari-Nikou, Natalie M; Zhao, Fangyun; Niedenthal, Paula M; MacDonald, Maryellen C.
Afiliación
  • Schwering SC; Department of Psychology, University of Wisconsin-Madison, Madison, WI USA.
  • Ghaffari-Nikou NM; Department of Psychology, University of Wisconsin-Madison, Madison, WI USA.
  • Zhao F; Department of Psychology, University of Wisconsin-Madison, Madison, WI USA.
  • Niedenthal PM; Department of Psychology, University of Wisconsin-Madison, Madison, WI USA.
  • MacDonald MC; Department of Psychology, University of Wisconsin-Madison, Madison, WI USA.
Affect Sci ; 2(2): 178-186, 2021 Jun.
Article en En | MEDLINE | ID: mdl-36043173
ABSTRACT
Fiction reading experience affects emotion recognition abilities, yet the causal link remains underspecified. Current theory suggests fiction reading promotes the simulation of fictional minds, which supports emotion recognition skills. We examine the extent to which contextualized statistical experience with emotion category labels in language is associated with emotion recognition. Using corpus analyses, we demonstrate fiction texts reliably use emotion category labels in an emotive sense (e.g., cry of relief), whereas other genres often use alternative senses (e.g., hurricane relief fund). Furthermore, fiction texts were shown to be a particularly reliable source of information about complex emotions. The extent to which these patterns affect human emotion concepts was analyzed in two behavioral experiments. In experiment 1 (n = 134), experience with fiction text predicted recognition of emotions employed in an emotive sense in fiction texts. In experiment 2 (n = 387), fiction reading experience predicted emotion recognition abilities, overall. These results suggest that long-term language experience, and fiction reading, in particular, supports emotion concepts through exposure to these emotions in context.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Affect Sci Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Affect Sci Año: 2021 Tipo del documento: Article