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Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English Literature ...
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Computational Models of Readers' Apperceptive Mass
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In: Front Artif Intell (2022)
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Modelling brain representations of abstract concepts
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In: PLoS Comput Biol (2022)
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Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy
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In: ISSN: 1065-9471 ; EISSN: 1097-0193 ; Human Brain Mapping ; https://hal-amu.archives-ouvertes.fr/hal-03217489 ; Human Brain Mapping, Wiley, 2021, ⟨10.1002/hbm.25449⟩ (2021)
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Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy ...
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Neural correlates of affective contributions to lexical decisions in children and adults ...
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Neural correlates of affective contributions to lexical decisions in children and adults
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In: Sci Rep (2021)
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From Abstract Symbols to Emotional (In-)Sights ... : An Eye Tracking Study on the Effects of Emotional Vignettes and Pictures ...
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Quasi Error-free Text Classification and Authorship Recognition in a large Corpus of English Literature based on a Novel Feature Set ...
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The Foregrounding Assessment Matrix: An interface for qualitative-quantitative interdisciplinary research ...
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What is the Difference? ... : Rereading Shakespeare’s Sonnets — an Eye Tracking Study ...
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Computing the Affective-Aesthetic Potential of Literary Texts ...
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Sentiment Analysis of Children and Youth Literature: Is There a Pollyanna Effect? ...
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From Abstract Symbols to Emotional (In-)Sights: An Eye Tracking Study on the Effects of Emotional Vignettes and Pictures
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In: Front Psychol (2020)
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Abstract:
Reading is known to be a highly complex, emotion-inducing process, usually involving connected and cohesive sequences of sentences and paragraphs. However, most empirical results, especially from studies using eye tracking, are either restricted to simple linguistic materials (e.g., isolated words, single sentences) or disregard valence-driven effects. The present study addressed the need for ecologically valid stimuli by examining the emotion potential of and reading behavior in emotional vignettes, often used in applied psychological contexts and discourse comprehension. To allow for a cross-domain comparison in the area of emotion induction, negatively and positively valenced vignettes were constructed based on pre-selected emotional pictures from the Nencki Affective Picture System (NAPS; Marchewka et al., 2014). We collected ratings of perceived valence and arousal for both material groups and recorded eye movements of 42 participants during reading and picture viewing. Linear mixed-effects models were performed to analyze effects of valence (i.e., valence category, valence rating) and stimulus domain (i.e., textual, pictorial) on ratings of perceived valence and arousal, eye movements in reading, and eye movements in picture viewing. Results supported the success of our experimental manipulation: emotionally positive stimuli (i.e., vignettes, pictures) were perceived more positively and less arousing than emotionally negative ones. The cross-domain comparison indicated that vignettes are able to induce stronger valence effects than their pictorial counterparts, no differences between vignettes and pictures regarding effects on perceived arousal were found. Analyses of eye movements in reading replicated results from experiments using isolated words and sentences: perceived positive text valence attracted shorter reading times than perceived negative valence at both the supralexical and lexical level. In line with previous findings, no emotion effects on eye movements in picture viewing were found. This is the first eye tracking study reporting superior valence effects for vignettes compared to pictures and valence-specific effects on eye movements in reading at the supralexical level.
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Keyword:
Psychology
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264705/ https://doi.org/10.3389/fpsyg.2020.00905
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What Is the Difference? Rereading Shakespeare’s Sonnets —An Eye Tracking Study
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Reading Shakespeare sonnets ... : Combining quantitative narrative analysis and predictive modeling - an eye tracking study ...
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Reading Shakespeare Sonnets: Combining Quantitative Narrative Analysis and Predictive Modeling —an Eye Tracking Study
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In: J Eye Mov Res (2019)
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A model-guided dissociation between subcortical and cortical contributions to word recognition
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Do Words Stink? Neural Reuse as a Principle for Understanding Emotions in Reading
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In: ISSN: 0898-929X ; EISSN: 1530-8898 ; Journal of Cognitive Neuroscience ; https://hal-amu.archives-ouvertes.fr/hal-01909756 ; Journal of Cognitive Neuroscience, Massachusetts Institute of Technology Press (MIT Press), 2018, 30 (7), pp.1023 - 1032. ⟨10.1162/jocn_a_01268⟩ (2018)
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