The design of Khmer word-based predictive non-QWERTY soft keyboard for stylus-based devices

Phavy Ouk*, Ye Kyaw Thu, Mitsuji Matsumoto, Yoshiyori Urano

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We introduce a first ever soft keyboard for stylusbased devices such as Personal Digital Assistant (PDA) for Khmer, official language of Cambodia. The contribution of this study is twofold - a key layout arrangement and a word-based predictive text entry method. First, we design a non-QWERTY key layout in which consonants and vowels are grouped phonetically and orthographically, respectively. As a result, the number of soft keys is much less than that of Khmer character sets. Second, we present a wordbased predictive text entry method based on the careful analysis of the structure of Khmer word composition. In spite of the word-based predictive mechanism, this soft keyboard provides as well the ability to input unknown words without swapping to other modes. A prototype has been developed and preliminary experiment shows that the proposed soft keyboard is user-friendly easy to use with little training. In addition to the application to stylus-based devices, it can also be extended to be a soft keyboard for conventional desktop.

Original languageEnglish
Title of host publicationProceedings - 2008 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2008
Pages225-232
Number of pages8
DOIs
Publication statusPublished - 2008
Event2008 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2008 - Herrsching am Ammersee
Duration: 2008 Sept 152008 Sept 19

Other

Other2008 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2008
CityHerrsching am Ammersee
Period08/9/1508/9/19

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

Fingerprint

Dive into the research topics of 'The design of Khmer word-based predictive non-QWERTY soft keyboard for stylus-based devices'. Together they form a unique fingerprint.

Cite this