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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/111694

Title:	A Chinese predictive text entry method for mobile devices
Authors:	楊亨利 Yang, Heng Li Lin, Ren-Xiang 林仁祥
Contributors:	資管系
Keywords:	Artificial intelligence;Cybernetics;Interactive devices;Learning systems;Mobile devices;Mobile telecommunication systems;Chinese text;K-lines;Mature environments;Mobile;Mobile Internet;Predictive text entry;Text entry methods;Wireless techniques;Human computer interaction
Date:	2015-01
Issue Date:	2017-08-09 17:28:20 (UTC+8)
Abstract:	The rapid growth of mobile Internet, mobile devices, and wireless techniques has created a mature environment to allow people to deal with many things by mobile devices at anytime and anywhere. However, the mobile devices have two inherent drawbacks which are limited screen sizes and hard-to-use keyboards. In this study, a predictive text entry method is proposed, namely, K-lines predictive text entry based on the K-line theory that is related to human memory mechanism to provide a more convenient and efficient text entry method for users. The experiment results indicated the K-lines predictive text entry would have great usability and performance for Chinese text entry. © 2014 IEEE.
Relation:	Proceedings - International Conference on Machine Learning and Cybernetics, 1, 309-314
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1109/ICMLC.2014.7009134
DOI:	10.1109/ICMLC.2014.7009134
Appears in Collections:	[資訊管理學系] 會議論文

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