http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
입력 패턴 학습을 통해 터치 영역 최적화를 지원하는 가상키보드의 사용성 평가
강수연(Suyeon Kang),김지영(Jiyoung Kim),박민희(Minhee Park),임호정(Hojeong Im),김헌(Huhn Kim) 대한인간공학회 2019 大韓人間工學會誌 Vol.38 No.6
Objective: The purpose of this study was to verify the usability of two typical smartphone virtual keyboards that optimize the touch area of each key by learning touch input patterns. Background: Virtual keyboards have many limitations due to their small size and lack of tactile feedback. Therefore, many studies have been conducted to improve the usability of the virtual keyboard. Among them, the verification on the usefulness of a virtual keyboard, with which optimizes the user’s touch area by learning his or her input pattern, is still insufficient. Method: In this study, the participants performed the task of inputting presented sentences using three virtual keyboards (Nota, AL, and Smartboard) that provide different levels of touch optimization support. Through the experiment, sentence matching ratio and typing time data were collected, and subjective satisfaction were also rated after the typing task was finished. Results: There were significant differences in the sentence matching ratio, typing time, and subjective satisfaction between Nota, AL and Smartboard. The Nota keyboard showed significantly better performances than the Smartboard in all respects. However, the AL keyboard showed no significant difference in sentence matching ratio and typing time compared to the Smartboard without such optimization function. Rather, the AL keyboard was less satisfied than the Smartboard. Conclusion: Automatically optimizing the touch area based on users" input pattern was more useful to the users than predicting, visually expanding and highlighting the keys that will be entered next. Application: In the future, smart phone manufacturers or virtual keyboard makers can use this result as a reference when they want to provide a similar function for touch area optimization.