Predicting subjective ratings of affect and comprehensibility with text features: a reader response study of narrative poetry
Literary reading is an interactive process between a reader and a text that depends on a balance between cognitive effort and emotional rewards. By studying both the crucial features of the text and of the subjective reader reception, a better understanding of this interactive process can be reached...
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Published in | Frontiers in psychology Vol. 15; p. 1431764 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
08.10.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Literary reading is an interactive process between a reader and a text that depends on a balance between cognitive effort and emotional rewards. By studying both the crucial features of the text and of the subjective reader reception, a better understanding of this interactive process can be reached. In the present study, subjects (
N
=31) read and rated a work of narrative fiction that was written in a poetic style, thereby offering the readers two pathways to cognitive rewards: Aesthetic appreciation and narrative immersion. Using purely text-based quantitative descriptors, we were able to independently and accurately predict the subjective ratings in the dimensions comprehensibility, valence, arousal, and liking across roughly 140 pages of naturalistic text. The specific text features that were most important in predicting each rating dimension are discussed in detail. In addition, the implications of the findings are discussed more generally in the context of existing models of literary processing and future research avenues for empirical literary studies. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Rocío Díaz Zavala, National University of Saint Augustine, Peru Pilar Ferré Romeu, University of Rovira i Virgili, Spain Pedro García Guirao, University of Malaga, Spain Edited by: Elena Jiménez-Pérez, University of Malaga, Spain |
ISSN: | 1664-1078 1664-1078 |
DOI: | 10.3389/fpsyg.2024.1431764 |