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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/15261
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タイトル: | Identifying Context-dependent Modes of Reading |
著者: | Fuyama, Miho Hidaka, Shohei |
キーワード: | Literary Reading Reading-time analysis |
発行日: | 2017-04-12 |
出版者: | Springer |
誌名: | Lecture Notes in Artificial Intelligence |
巻: | 10091 |
開始ページ: | 514 |
終了ページ: | 527 |
DOI: | 10.1007/978-3-319-50953-2_38 |
抄録: | 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 reffects 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. |
Rights: | This is the author-created version of Springer, Miho Fuyama, Shohei Hidaka, Lecture Notes in Artificial Intelligence, 10091, 2017, 514-527. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-319-50953-2_38 |
URI: | http://hdl.handle.net/10119/15261 |
資料タイプ: | author |
出現コレクション: | a10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
ファイル |
記述 |
サイズ | 形式 |
23458.pdf | | 848Kb | Adobe PDF | 見る/開く |
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