Generation of Emotional Inferences during Text Comprehension: Behavioral Data and Implementation through the Landscape Model

Carlos Molinari Marotto; Juan Pablo Barreyro; Jazmín Cevasco; Paul van den Broek

doi:10.24310/espsiescpsi.v4i1.13308

Authors

Carlos Molinari Marotto Universidad de Buenos Aires, Argentina
Juan Pablo Barreyro Consejo Nacional de Investigaciones Científicas y Técnicas-Universidad de Buenos Aires Argentina
Jazmín Cevasco Consejo Nacional de Investigaciones Científicas y Técnicas-Universidad de Buenos Aires Argentina
Paul van den Broek Department of Education and Child Studies, Leiden University Netherlands

DOI:

https://doi.org/10.24310/espsiescpsi.v4i1.13308

Keywords:

Inferencias Emocionales, Modelo Landscape, Textos Naturales

Abstract

This study investigated the generation of emotional inferences during the reading and recall of narrative texts. Experiment 1 compared the fit of two simulations of text comprehension to the recall data. One simulation examined causal and referential inferences, while the other examined causal, referential and emotional inferences. We found that the simulation that involved emotional inferences provided a better fit to the human data than the other simulation. Experiment 2 tested whether emotional inferences are generated online by recording lexical decision times at preinference and inference locations. Lexical decision times were faster at the inference than the preinference locations. These findings suggest that emotional inferences play a role in the understanding of natural texts, and that they require the reader to establish connections between text segments.

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