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Text Entry

Japanese EdgeWrite

Kentaro Go, Yuichiro Kinoshita, Shoichi Watanabe, "Designing EdgeWrite Versions for Japanese Text Entry," 2013 International Conference on Cyberworlds, pp. 120-123, 2013 International Conference on Cyberworlds (CW), 2013 

This paper presents our project of designing Edge Write text entry methods for Japanese language. We are developing two versions of Edge Write text entry method for Japanese language: Roman-Kana Edge Write and Katakana Edge Write. Roman-Kana Edge Write is a straightforward application of the original Edge Write to Japanese phonograms. In Roman-Kana Edge Write, each Japanese phonogram is represented as a combination of a consonant and vowel, each of which is specified by an English character in the original Edge Write. Katakana Edge Write specifies the line stroke directions and writing order of the Japanese Katakana character. The ideal corner sequence pattern of Edge Write for each Katakana character is designed based on its line stroke directions and writing order.

IToNe: A Japanese Text Input Method for a Dual Joystick Game Controller

Kentaro Go, Hayato Konishi, and Yoshisuke Matsuura. 2008. Itone: a japanese text input method for a dual joystick game controller. In CHI '08 extended abstracts on Human factors in computing systems (CHI EA '08). ACM, New York, NY, USA, 3141-3146. DOI=10.1145/1358628.1358821 http://doi.acm.org/10.1145/1358628.1358821

Abstract: In this paper, we report the design and evaluation of a Japanese text input method called IToNe. It uses a dual joystick game controller to input Japanese text. The left and right joysticks are respectively assigned to the left and right halves of the Japanese syllabary chart. The combination of left and right joystick signals selects a character. IToNe is theoretically faster than the Japanese selection chart. Results of a preliminary user study show that users prefer IToNe to EGCONVERT: its smoothness during operation and accuracy measures are significantly higher. In addition, the learning curve of IToNe suggests that it can be learned easily and that it potentially provides higher performance.