Vocabulometer, a Web Platform for Ubiquitous Language Learning
Pages 361 - 364
Abstract
The Vocabulometer is a reading assistant system designed to record the reading activity of a user and to extract mutual information about the users and the read documents. The Vocabulometer stands as a web platform and offers services for analyzing which word is read at which time, estimating the reading skill of the user, the level of difficulty of a document, and recommending reading materials according to the user's vocabulary. For now the system is based on eye tracking but in the future we plan to make a smartphone application which do not need additional hardware.
References
[1]
Olivier Augereau, Clément Jacquet, Koichi Kise, and Nicholas Journet. 2018. Vocabulometer: a Web Platform for Document and Reader Mutual Analysis. In 2018 13th IAPR International Workshop on Document Analysis Systems (DAS). IEEE, 109--114.
[2]
Olivier Augereau, Koichi Kise, and Kensuke Hoshika. 2015. A proposal of a document image reading-life log based on document image retrieval and eyetracking. In Document Analysis and Recognition (ICDAR), 2015 13th International Conference on. IEEE, 246--250.
[3]
Olivier Augereau, Charles Lima Sanches, Koichi Kise, and Kai Kunze. 2018. Wordometer Systems for Everyday Life. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 4 (2018), 123.
[4]
Meltem Baturay, Soner Yıldırım, and Aysegül Daloğlu. 2009. Effects of Web-Based Spaced Repetition on Vocabulary Retention of Foreign Language Learners. Eurasian Journal of Educational Research (EJER) 34 (2009).
[5]
Iuliia Brishtel, Shoya Ishimaru, Olivier Augereau, Koichi Kise, and Andreas Dengel. 2018. Assessing Cognitive Workload on Printed and Electronic Media using Eye-Tracker and EDA Wristband. In Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion. ACM, 45.
[6]
Ramla Ghali and Claude Frasson. 2010. Emotional strategies for vocabulary learning. In Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on. IEEE, 249--253.
[7]
Charles Lima Sanches, Koichi Kise, and Olivier Augereau. 2017. Japanese reading objective understanding estimation by eye gaze analysis. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. ACM, 121--124.
[8]
Paul Nation and Robert Waring. 1997. Vocabulary size, text coverage and word lists. Vocabulary: Description, acquisition and pedagogy 14 (1997), 6--19.
[9]
Kento Yamada, Koichi Kise, and Olivier Augereau. 2017. Estimation of confidence based on eye gaze: an application to multiple-choice questions. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. ACM, 217--220.
Index Terms
- Vocabulometer, a Web Platform for Ubiquitous Language Learning
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Published In
October 2018
1881 pages
ISBN:9781450359665
DOI:10.1145/3267305
Copyright © 2018 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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- SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
- University of Florida: University of Florida
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 08 October 2018
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- Demonstration
- Research
- Refereed limited
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UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing
October 8 - 12, 2018
Singapore, Singapore
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Overall Acceptance Rate 764 of 2,912 submissions, 26%
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