Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension

Autores
Molinari Marotto, Carlos; Barreyro, Juan Pablo; Yomha Cevasco, Jazmin; van den Broek, Paul
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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 pre-inference and inference locations. Lexical decision times were faster at the inference than the pre-inference 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.ment 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 pre-inference and inference locations. Lexical decision times were faster at the inference than the pre-inference 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.
Este estudio investigó la generación de inferencias emocionales durante la lectura y el recuerdo de textos naturales. En el Experimento 1 comparamos el ajuste de dos simulaciones de la comprensión de textos a los protocolos de recuerdo. Una de ellas contempló la realización de inferencias causales y referenciales, y la otra, la realización de inferencias causales, referenciales y emocionales. Se encontró que la simulación que implementaba la realización de inferencias emocionales brindaba un mejor ajuste a los datos de recuerdo que la simulación que no las contemplaba. En el Experimento 2, se examinó si las inferencias emocionales se generan online midiendo tiempos de decisión léxica en condiciones de pre-inferencia y de inferencia. Se encontró que los tiempos eran menores en la condición de inferencia que en la de pre-inferencia. Estos hallazgos sugieren que las inferencias emocionales juegan un rol en la comprensión de textos naturales, y que requieren que el lector establezca conexiones entre los segmentos textuales.
Fil: Molinari Marotto, Carlos. Universidad de Buenos Aires; Argentina
Fil: Barreyro, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Yomha Cevasco, Jazmin. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: van den Broek, Paul. Leiden University; Países Bajos
Materia
Inferencias Emocionales
Modelo Computacional Landscape
Comprensión de Textos
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/192538

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spelling Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehensionGeneración de Inferencias Emocionales durante la Comprensión de Textos: Datos Conductuales e Implementación a través del Modelo LandscapeMolinari Marotto, CarlosBarreyro, Juan PabloYomha Cevasco, Jazminvan den Broek, PaulInferencias EmocionalesModelo Computacional LandscapeComprensión de Textoshttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5This 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 pre-inference and inference locations. Lexical decision times were faster at the inference than the pre-inference 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.ment 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 pre-inference and inference locations. Lexical decision times were faster at the inference than the pre-inference 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.Este estudio investigó la generación de inferencias emocionales durante la lectura y el recuerdo de textos naturales. En el Experimento 1 comparamos el ajuste de dos simulaciones de la comprensión de textos a los protocolos de recuerdo. Una de ellas contempló la realización de inferencias causales y referenciales, y la otra, la realización de inferencias causales, referenciales y emocionales. Se encontró que la simulación que implementaba la realización de inferencias emocionales brindaba un mejor ajuste a los datos de recuerdo que la simulación que no las contemplaba. En el Experimento 2, se examinó si las inferencias emocionales se generan online midiendo tiempos de decisión léxica en condiciones de pre-inferencia y de inferencia. Se encontró que los tiempos eran menores en la condición de inferencia que en la de pre-inferencia. Estos hallazgos sugieren que las inferencias emocionales juegan un rol en la comprensión de textos naturales, y que requieren que el lector establezca conexiones entre los segmentos textuales.Fil: Molinari Marotto, Carlos. Universidad de Buenos Aires; ArgentinaFil: Barreyro, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Yomha Cevasco, Jazmin. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: van den Broek, Paul. Leiden University; Países BajosUniversidad de Málaga2011-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/192538Molinari Marotto, Carlos; Barreyro, Juan Pablo; Yomha Cevasco, Jazmin; van den Broek, Paul; Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension; Universidad de Málaga; Escritos de Psicología; 4; 1; 4-2011; 9-171138-2635CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.redalyc.org/pdf/2710/271019809002.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:45:56Zoai:ri.conicet.gov.ar:11336/192538instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:45:57.134CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension
Generación de Inferencias Emocionales durante la Comprensión de Textos: Datos Conductuales e Implementación a través del Modelo Landscape
title Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension
spellingShingle Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension
Molinari Marotto, Carlos
Inferencias Emocionales
Modelo Computacional Landscape
Comprensión de Textos
title_short Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension
title_full Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension
title_fullStr Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension
title_full_unstemmed Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension
title_sort Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension
dc.creator.none.fl_str_mv Molinari Marotto, Carlos
Barreyro, Juan Pablo
Yomha Cevasco, Jazmin
van den Broek, Paul
author Molinari Marotto, Carlos
author_facet Molinari Marotto, Carlos
Barreyro, Juan Pablo
Yomha Cevasco, Jazmin
van den Broek, Paul
author_role author
author2 Barreyro, Juan Pablo
Yomha Cevasco, Jazmin
van den Broek, Paul
author2_role author
author
author
dc.subject.none.fl_str_mv Inferencias Emocionales
Modelo Computacional Landscape
Comprensión de Textos
topic Inferencias Emocionales
Modelo Computacional Landscape
Comprensión de Textos
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv 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 pre-inference and inference locations. Lexical decision times were faster at the inference than the pre-inference 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.ment 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 pre-inference and inference locations. Lexical decision times were faster at the inference than the pre-inference 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.
Este estudio investigó la generación de inferencias emocionales durante la lectura y el recuerdo de textos naturales. En el Experimento 1 comparamos el ajuste de dos simulaciones de la comprensión de textos a los protocolos de recuerdo. Una de ellas contempló la realización de inferencias causales y referenciales, y la otra, la realización de inferencias causales, referenciales y emocionales. Se encontró que la simulación que implementaba la realización de inferencias emocionales brindaba un mejor ajuste a los datos de recuerdo que la simulación que no las contemplaba. En el Experimento 2, se examinó si las inferencias emocionales se generan online midiendo tiempos de decisión léxica en condiciones de pre-inferencia y de inferencia. Se encontró que los tiempos eran menores en la condición de inferencia que en la de pre-inferencia. Estos hallazgos sugieren que las inferencias emocionales juegan un rol en la comprensión de textos naturales, y que requieren que el lector establezca conexiones entre los segmentos textuales.
Fil: Molinari Marotto, Carlos. Universidad de Buenos Aires; Argentina
Fil: Barreyro, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Yomha Cevasco, Jazmin. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: van den Broek, Paul. Leiden University; Países Bajos
description 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 pre-inference and inference locations. Lexical decision times were faster at the inference than the pre-inference 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.ment 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 pre-inference and inference locations. Lexical decision times were faster at the inference than the pre-inference 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.
publishDate 2011
dc.date.none.fl_str_mv 2011-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/192538
Molinari Marotto, Carlos; Barreyro, Juan Pablo; Yomha Cevasco, Jazmin; van den Broek, Paul; Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension; Universidad de Málaga; Escritos de Psicología; 4; 1; 4-2011; 9-17
1138-2635
CONICET Digital
CONICET
url http://hdl.handle.net/11336/192538
identifier_str_mv Molinari Marotto, Carlos; Barreyro, Juan Pablo; Yomha Cevasco, Jazmin; van den Broek, Paul; Generation of emotional inferences during the reading of narratives: using the Landscape model to simulate comprehension; Universidad de Málaga; Escritos de Psicología; 4; 1; 4-2011; 9-17
1138-2635
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.redalyc.org/pdf/2710/271019809002.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad de Málaga
publisher.none.fl_str_mv Universidad de Málaga
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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