Data Structures in the Design of Interfaces
Personal and Ubiquitous Computing
Offline handwritten Chinese character recognition by radical decomposition
ACM Transactions on Asian Language Information Processing (TALIP)
Graphics matter: a case study of mobile phone keypad design for chinese input
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Crossmodal error correction of continuous handwriting recognition by speech
Proceedings of the 12th international conference on Intelligent user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Chinese pinyin phrasal input on mobile phone: usability and developing trends
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
RotaTxt: Chinese pinyin input with a rotator
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
The birth of mobile chinese keypad & hybrid input methods
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Multi-point touch input method for Korean text entry
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Kansuke: A logograph look-up interface based on a few modified stroke prototypes
ACM Transactions on Computer-Human Interaction (TOCHI)
Chinese character entry for mobile phones: a longitudinal investigation
Interacting with Computers
Stroke++: a hybrid chinese input method for touch screen mobile phones
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
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Over the past few decades, users have been feeling clumsy inputting Chinese on mobile devices, partly because the layout of the keyboard/keypad is originally designed for inputting Latin alphabets. To improve this user experience, we propose Stroke++, a novel Chinese input method for touch screen mobile devices. More specifically, Stroke++ provides efficient keypad layout, a friendly user interface and a intelligent character/phrase candidate set generation algorithms. Stroke++ splits a Chinese character into multiple radicals. By leveraging hieroglyphic properties of Chinese characters, our method requires users to only input a subset of the radicals to identify the target character, making it much faster and easier to input Chinese on mobile phones. Our user study results show that Stroke++ outperforms most major Chinese input methods on mobile devices, including Stroke, Pinyin and Hand Writing Recognition (HWR), in terms of the input efficiency and usability. Moreover, we also demonstrate that Stroke++ offers a low entry barrier for Chinese-input novices.