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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/192538
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
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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1844613435871985664 |
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13.070432 |