StrategicReading: Understanding Complex Mobile Reading Strategies via Implicit Behavior Sensing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Guo, Wei | - |
dc.contributor.author | Cho, Byeong Young | - |
dc.contributor.author | Wang, Jingtao | - |
dc.date.accessioned | 2022-07-07T14:36:05Z | - |
dc.date.available | 2022-07-07T14:36:05Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2020-10 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/145057 | - |
dc.description.abstract | Mobile devices are becoming an important platform for reading. However, existing research on mobile reading primarily focuses on low-level metrics such as speed and comprehension. For complex reading tasks involving information seeking and context switching, researchers still rely on verbal reports via think-aloud. We present StrategicReading, an intelligent reading system running on unmodified smartphones, to understand high-level strategic reading behaviors on mobile devices. StrategicReading leverages multimodal behavior sensing and takes advantage of signals from camera-based gaze sensing, kinematic scrolling patterns, and cross-page behavior changes. Through a 40-participant study, we found that gaze patterns, muscle stiffness signals, and reading paths captured by StrategicReading can infer both users' reading strategies and reading performance with high accuracy. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | StrategicReading: Understanding Complex Mobile Reading Strategies via Implicit Behavior Sensing | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Cho, Byeong Young | - |
dc.identifier.doi | 10.1145/3382507.3418879 | - |
dc.identifier.scopusid | 2-s2.0-85096673996 | - |
dc.identifier.bibliographicCitation | ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction, pp.491 - 500 | - |
dc.relation.isPartOf | ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction | - |
dc.citation.title | ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction | - |
dc.citation.startPage | 491 | - |
dc.citation.endPage | 500 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Behavior change | - |
dc.subject.keywordPlus | Camera-based | - |
dc.subject.keywordPlus | Context switching | - |
dc.subject.keywordPlus | High-accuracy | - |
dc.subject.keywordPlus | Information seeking | - |
dc.subject.keywordPlus | Muscle stiffness | - |
dc.subject.keywordPlus | Reading performance | - |
dc.subject.keywordPlus | Reading strategies | - |
dc.subject.keywordPlus | Interactive computer systems | - |
dc.subject.keywordAuthor | Smartphone reading, online reading strategies, mobile computing | - |
dc.subject.keywordAuthor | gaze tracking | - |
dc.subject.keywordAuthor | educational technology | - |
dc.subject.keywordAuthor | intelligent user interfaces | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/3382507.3418879 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.