A CHINESE PREDICTIVE TEXT ENTRY METHOD FOR MOBILE DEVICES

被引：0

作者：

Yang, Heng-Li ^{[1
]}

Lin, Ren-Xiang ^{[1
]}

机构：

[1] Natl Chengchi Univ, Dept Management Informat Syst, Taipei, Taiwan

来源：

PROCEEDINGS OF 2014 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 1 | 2014年

关键词：

Mobile; Chinese text entry; Predictive text entry; K-lines theory; Human-computer Interaction; SYSTEM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：309 / 314

页数：6

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