지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.12
- 수록면
- 555 - 564 (10page)
- DOI
- 10.5143/JESK.2019.38.6.555
이용수
초록· 키워드
오류제보하기
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.
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.
목차
1. Introduction
2. Method
3. Results
4. Discussion and Conclusion
References
참고문헌 (21)
참고문헌 신청
Clawson, J. / 2012 / On-the-go text entry: evaluating and improving mobile text input on mini-qwerty keyboards
Dunlop, M. / 2012 / Multidimensional pareto optimization of touchscreen keyboards for speed, familiarity and improved spell checking / Proceedings of the SIGCHI Conference on Human Factors in Computing Systems :2669~2678
Feit, A. M. / 2016 / How we type: Movement strategies and performance in everyday typing / Proceedings of the 2016 Chi Conference on Human Factors in Computing Systems :4262~4273
Fleetwood, M. D. / 2002 / An evaluation of text-entry in Palm OS-Graffiti and the virtual keyboard / Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46(5):617~621
Gelormini, D / 2013 / Optimizing the android virtual keyboard: A study of user experience / 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) :1~4
Dunlop, M. / 2012 / Multidimensional pareto optimization of touchscreen keyboards for speed, familiarity and improved spell checking / Proceedings of the SIGCHI Conference on Human Factors in Computing Systems :2669~2678
Feit, A. M. / 2016 / How we type: Movement strategies and performance in everyday typing / Proceedings of the 2016 Chi Conference on Human Factors in Computing Systems :4262~4273
Fleetwood, M. D. / 2002 / An evaluation of text-entry in Palm OS-Graffiti and the virtual keyboard / Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46(5):617~621
Gelormini, D / 2013 / Optimizing the android virtual keyboard: A study of user experience / 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) :1~4
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