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 language | English |
|---|---|
| Title of host publication | New Frontiers in Artificial Intelligence - JSAI-isAI 2015 Workshops, LENLS, JURISIN, AAA, HAT-MASH, TSDAA, ASD-HR, and SKL, Revised Selected Papers |
| Editors | Mihoko Otake, Ken Satoh, Setsuya Kurahashi, Yuiko Ota, Daisuke Bekki |
| Publisher | Springer-Verlag |
| Pages | 514-527 |
| Number of pages | 14 |
| ISBN (Print) | 9783319509525 |
| DOIs | |
| Publication status | Published - 2017 Jan 1 |
| Externally published | Yes |
| Event | 7th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2015 - Kanagawa, Japan Duration: 2015 Nov 16 → 2015 Nov 18 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10091 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 7th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2015 |
|---|---|
| Country | Japan |
| City | Kanagawa |
| Period | 15/11/16 → 15/11/18 |
Fingerprint
Keywords
- Literary
- Reading
- Reading-time analysis
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
Identifying Context-Dependent modes of reading. / Fuyama, Miho; Hidaka, Shohei.
New Frontiers in Artificial Intelligence - JSAI-isAI 2015 Workshops, LENLS, JURISIN, AAA, HAT-MASH, TSDAA, ASD-HR, and SKL, Revised Selected Papers. ed. / Mihoko Otake; Ken Satoh; Setsuya Kurahashi; Yuiko Ota; Daisuke Bekki. Springer-Verlag, 2017. p. 514-527 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10091 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Identifying Context-Dependent modes of reading
AU - Fuyama, Miho
AU - Hidaka, Shohei
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Literary
KW - Reading
KW - Reading-time analysis
UR - http://www.scopus.com/inward/record.url?scp=85018393792&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018393792&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-50953-2_38
DO - 10.1007/978-3-319-50953-2_38
M3 - Conference contribution
AN - SCOPUS:85018393792
SN - 9783319509525
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 514
EP - 527
BT - New Frontiers in Artificial Intelligence - JSAI-isAI 2015 Workshops, LENLS, JURISIN, AAA, HAT-MASH, TSDAA, ASD-HR, and SKL, Revised Selected Papers
A2 - Otake, Mihoko
A2 - Satoh, Ken
A2 - Kurahashi, Setsuya
A2 - Ota, Yuiko
A2 - Bekki, Daisuke
PB - Springer-Verlag
ER -