Earticle

초록

영어

The user interface design of smart phone is often too simple in logic that the taxonomy of tasks frequently performed is the only basis and the UI allow the user to add their favorite Apps as they want. However, with too many Apps available for smart phone users but not many of them are used frequently, the convenience of smart phone usage can and should be developed not just by the predefined functions but to maximize its UI usefulness from user's activity analysis. In this paper, we propose an intelligent method using BAM network to minimize searching for the frequently asked Apps by recognizing and learning user's signal to execute them. This is a form of activity-centered design to maximize user's convenience in user interface of a smart phone.

목차

Abstract
 1. Introduction
 2. Learning Personalized Apps Execution Patterns with BAM
 3. Conclusion
 References

키워드

저자

• Doo Heon Song [ Department of Computer Games, Yong-In Songdam College, Mapyeong-dong, Cheoin-gu, Yongin 449-040, Korea ]
• Am-Suk Oh [ Department of Media Engineering, Tongmyoung University, Sinsun Ro 179, Nam-gu, Busan 608-711, Korea ]
• Young Woon Woo [ Department of Multimedia Engineering, Dong-Eui University, Eomgwangno 176, Busanjin-Gu, Busan 614-714, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605