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Exploring the Relationship Between Fiction Reading and Emotion Recognition.

Steven C Schwering1, Natalie M Ghaffari-Nikou1, Fangyun Zhao1

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Area of Science:

  • Cognitive Psychology
  • Computational Linguistics
  • Neuroscience

Background:

  • Fiction reading is theorized to improve emotion recognition by simulating fictional minds.
  • The precise mechanisms linking fiction exposure to enhanced emotional understanding require further elucidation.
  • This research investigates the role of statistical language experience in shaping emotion concepts.

Purpose of the Study:

  • To determine if contextualized statistical experience with emotion labels in language influences emotion recognition.
  • To analyze how different genres use emotion category labels and their impact on human concepts.
  • To experimentally validate the link between fiction reading and emotion recognition abilities.

Main Methods:

  • Corpus analysis of emotion category label usage across different text genres.
  • Two behavioral experiments assessing the correlation between fiction reading experience and emotion recognition.
  • Statistical analysis of language patterns in fiction versus non-fiction texts.

Main Results:

  • Fiction texts predominantly use emotion labels in an emotive context, unlike other genres.
  • Fiction serves as a rich source for understanding complex emotions and their contextual usage.
  • Experience with fiction text significantly predicted the recognition of emotions used emotively and overall emotion recognition abilities.

Conclusions:

  • Long-term language exposure, particularly through fiction, supports the development of human emotion concepts.
  • The contextualized presentation of emotions in fiction plays a crucial role in enhancing recognition skills.
  • This study provides empirical evidence for the impact of literary engagement on affective cognition.