Identifying Context-Dependent modes of reading

Miho Fuyama, Shohei Hidaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Past literature has suggested that reading text as a whole cannot be reduced to merely an aggregation of sentence processing, but instead there are expected to be some context-dependent stylistic differences in the reading process. It has been, however, difficult to capture such context-dependent reading styles or modes. In this study, under the hypothesis that the statistics of reading time reflects such reading modes, we introduce a new statistical approach to capture them. Our analysis of the distributions of reading times identified two distinct modes of reading. In further analysis, we found that the temporal profiles of the two reading modes were correlated to the reader’s degree of engagement. We discuss how the context dependency of the reading modes is related to dynamic construction of the reader’s knowledge of narratives.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - JSAI-isAI 2015 Workshops, LENLS, JURISIN, AAA, HAT-MASH, TSDAA, ASD-HR, and SKL, Revised Selected Papers
EditorsMihoko Otake, Ken Satoh, Setsuya Kurahashi, Yuiko Ota, Daisuke Bekki
PublisherSpringer-Verlag
Pages514-527
Number of pages14
ISBN (Print)9783319509525
DOIs
Publication statusPublished - 2017 Jan 1
Externally publishedYes
Event7th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2015 - Kanagawa, Japan
Duration: 2015 Nov 162015 Nov 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10091 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2015
CountryJapan
CityKanagawa
Period15/11/1615/11/18

Keywords

  • Literary
  • Reading
  • Reading-time analysis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Fuyama, M., & Hidaka, S. (2017). Identifying Context-Dependent modes of reading. In M. Otake, K. Satoh, S. Kurahashi, Y. Ota, & D. Bekki (Eds.), New Frontiers in Artificial Intelligence - JSAI-isAI 2015 Workshops, LENLS, JURISIN, AAA, HAT-MASH, TSDAA, ASD-HR, and SKL, Revised Selected Papers (pp. 514-527). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10091 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-50953-2_38