Stroke++: a hybrid chinese input method for touch screen mobile phones

  • Authors:
  • Jianwei Niu;Like Zhu;Qifeng Yan;Yingfei Liu;Kongqiao Wang

  • Affiliations:
  • Beihang University, Beijing, China;Beihang University, Beijing, China;Nokia Research Center, Espoo, Espoo, Finland;Nokia Research Center, Beijing, Beijing, China;Nokia Research Center, Beijing, Beijing, China

  • Venue:
  • Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
  • Year:
  • 2010

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Abstract

In this paper we present Stroke++, a novel hybrid Chinese input method for touch screen mobile phones that leverages hieroglyphic properties of Chinese characters to enable faster and easier input of Chinese characters on mobile phones. By using a special keypad layout, a friendly user interface and an adaptive radical selection algorithm, we achieved a competitive inputting performance compared with currently prevalent mobile Chinese input methods, while keeping a low entry barrier for Chineseinput novices. An extensive evaluation results show that Stroke++ out-performs the state-of-the-art keystroke-based or handwriting recognition-based Chinese character inputting methods, as far as the input speed and convenience are concerned.