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
- 학술대회자료
- 저자정보
- 발행연도
- 2012.5
- 수록면
- 886 - 892 (7page)
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초록· 키워드
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These days most of devices equipped with touchscreen in HCI computing environment. GOMS has been used for Model Based-Evaluation which is proper for technology development in recent which is more shortening cycle environment than past. Because modeling by using GOMS modedel is easy to learn and intuitive language. But GOMS model was originally developed in desktop environment so that it has limitation for GOMS model to predict accurately human behavior in the touchscreen environment likes
touchscreen mobile phone. Therefore this study propose the methodology for extracting GOMS operator to predict Human behavior for Flick to changeover the page in touchscreen. Flick is the preferred alternative, and user tested to believe that flick is a good changeover method in touchscreen. Touchscreen sizes have become lager than those on phones with physical keypads. But screen size is not sufficient to display all multimedia content, which has an enormous amount of space. So The gesture for changeover screen is important in touch mobile environment. In conclusion, modified-GOMS operator could predict human Flick performance more accurately than the original GOMS model in the mobile computing environment.
touchscreen mobile phone. Therefore this study propose the methodology for extracting GOMS operator to predict Human behavior for Flick to changeover the page in touchscreen. Flick is the preferred alternative, and user tested to believe that flick is a good changeover method in touchscreen. Touchscreen sizes have become lager than those on phones with physical keypads. But screen size is not sufficient to display all multimedia content, which has an enormous amount of space. So The gesture for changeover screen is important in touch mobile environment. In conclusion, modified-GOMS operator could predict human Flick performance more accurately than the original GOMS model in the mobile computing environment.
목차
Abstract
1. 서론
2. 연구 방법
3. 검증 실험
4. 토의
5. 결론
Reference
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UCI(KEPA) : I410-ECN-0101-2013-530-003198061