Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study
As a part of a larger interdisciplinary project on Shakespeare sonnets’ reception (Jacobs et al., 2017; Xue et al., 2017), the present study analyzed the eye movement behavior of participants reading three of the 154 sonnets as a function of seven lexical features extracted via Quantitative Narrativ...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Journal of Eye Movement Research |
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| Online Access: | https://bop.unibe.ch/JEMR/article/view/4460 |
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| author | Shuwei Xue Jana Lüdtke Teresa Sylvester Arthur M. Jacobs |
| author_facet | Shuwei Xue Jana Lüdtke Teresa Sylvester Arthur M. Jacobs |
| author_sort | Shuwei Xue |
| collection | DOAJ |
| description | As a part of a larger interdisciplinary project on Shakespeare sonnets’ reception (Jacobs et al., 2017; Xue et al., 2017), the present study analyzed the eye movement behavior of participants reading three of the 154 sonnets as a function of seven lexical features extracted via Quantitative Narrative Analysis (QNA). Using a machine learning- based predictive modeling approach five ‘surface’ features (word length, orthographic neighborhood density, word frequency, orthographic dissimilarity and sonority score) were detected as important predictors of total reading time and fixation probability in poetry reading. The fact that one phonological feature, i.e., sonority score, also played a role is in line with current theorizing on poetry reading. Our approach opens new ways for future eye movement research on reading poetic texts and other complex literary materials (cf. Jacobs, 2015c). |
| format | Article |
| id | doaj-art-1b2644d9eb474dc49cf2ab130b2f5fff |
| institution | OA Journals |
| issn | 1995-8692 |
| language | English |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Eye Movement Research |
| spelling | doaj-art-1b2644d9eb474dc49cf2ab130b2f5fff2025-08-20T01:59:05ZengMDPI AGJournal of Eye Movement Research1995-86922019-03-0112510.16910/jemr.12.5.2Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking studyShuwei Xue0Jana Lüdtke1Teresa Sylvester2Arthur M. Jacobs3Department of Experimental and Neurocognitive Psychology, Freie Universität Berlin, GermanyDepartment of Experimental and Neurocognitive Psychology, Freie Universität Berlin, GermanyDepartment of Experimental and Neurocognitive Psychology, Freie Universität Berlin, GermanyDepartment of Experimental and Neurocognitive Psychology, Freie Universität Berlin, Germany; Dahlem Institute for Neuroimaging of Emotion (D.I.N.E.), Berlin, Germany; Center for Cognitive Neuroscience Berlin (CCNB), Berlin, GermanyAs a part of a larger interdisciplinary project on Shakespeare sonnets’ reception (Jacobs et al., 2017; Xue et al., 2017), the present study analyzed the eye movement behavior of participants reading three of the 154 sonnets as a function of seven lexical features extracted via Quantitative Narrative Analysis (QNA). Using a machine learning- based predictive modeling approach five ‘surface’ features (word length, orthographic neighborhood density, word frequency, orthographic dissimilarity and sonority score) were detected as important predictors of total reading time and fixation probability in poetry reading. The fact that one phonological feature, i.e., sonority score, also played a role is in line with current theorizing on poetry reading. Our approach opens new ways for future eye movement research on reading poetic texts and other complex literary materials (cf. Jacobs, 2015c).https://bop.unibe.ch/JEMR/article/view/4460Literary readingeye movementseye trackingQNApredictive modeling |
| spellingShingle | Shuwei Xue Jana Lüdtke Teresa Sylvester Arthur M. Jacobs Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study Journal of Eye Movement Research Literary reading eye movements eye tracking QNA predictive modeling |
| title | Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study |
| title_full | Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study |
| title_fullStr | Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study |
| title_full_unstemmed | Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study |
| title_short | Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study |
| title_sort | reading shakespeare sonnets combining quantitative narrative analysis and predictive modeling an eye tracking study |
| topic | Literary reading eye movements eye tracking QNA predictive modeling |
| url | https://bop.unibe.ch/JEMR/article/view/4460 |
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