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
- 2020.2
- 수록면
- 5 - 15 (11page)
- DOI
- 10.15187/adr.2020.02.33.1.5
이용수
초록· 키워드
오류제보하기
Background : Despite the quantitative growth of data, it is difficult though important to induce users to engage with data fully and effectively in everyday environments. To support users’ spontaneous interaction with data and increase user engagement with data in an everyday context, this study attempts to explore a design approach for a system that adaptively visualizes data in the form of everyday objects.
Methods : To understand how people currently utilize data on fine dust concentration and there maining challenges and opportunities to improve users’ data engagement in an everyday context, we interviewed twelve individuals who were frequent users of diverse platforms providing real-time fine dust concentration information.
Results : We determined the design requirements necessary to visualize data in a daily environment. First, to attract users’ attention, it was important to afford them immediate access to data. Second, the granularity of information must vary in accordance with the level of user interest. Third, it is necessary to design data visualization in a style consistent with the characteristics and aesthetic styles of users’ interior spaces. Based on the design requirements, we illustrated the concept by designing an interactive clock that adaptively visualizes the fine dust concentration.
Conclusions : The possibility of an adaptive method of data visualization through everyday objects was investigated. We expect this research to inspire the design of a system that recognizes usage context and visualizes the data appropriately, which thereby induces more people to engage with data in their everyday environment.
Methods : To understand how people currently utilize data on fine dust concentration and there maining challenges and opportunities to improve users’ data engagement in an everyday context, we interviewed twelve individuals who were frequent users of diverse platforms providing real-time fine dust concentration information.
Results : We determined the design requirements necessary to visualize data in a daily environment. First, to attract users’ attention, it was important to afford them immediate access to data. Second, the granularity of information must vary in accordance with the level of user interest. Third, it is necessary to design data visualization in a style consistent with the characteristics and aesthetic styles of users’ interior spaces. Based on the design requirements, we illustrated the concept by designing an interactive clock that adaptively visualizes the fine dust concentration.
Conclusions : The possibility of an adaptive method of data visualization through everyday objects was investigated. We expect this research to inspire the design of a system that recognizes usage context and visualizes the data appropriately, which thereby induces more people to engage with data in their everyday environment.
목차
Abstract
1. Introduction
2. Design Process
3. Design Proposal
4. Discussion
5. Conclusion
References
참고문헌 (20)
참고문헌 신청
Byungkeun, O. / 2008 / Textbook of information design / Ahn Graphics
Domik, G. O. / 1994 / User modeling for adaptive visualization systems / Proceedings Visualization' 94 :217~223
Gotz, D. / 2009 / Behavior-driven Visualization Recommendation / Proceedings of the 14th International Conference on Intelligent User Interfaces :315~324
Grawemeyer, B. / 2006 / Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Houben, S. / 2016 / Physikit / Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI' 16 :1608~1619
Domik, G. O. / 1994 / User modeling for adaptive visualization systems / Proceedings Visualization' 94 :217~223
Gotz, D. / 2009 / Behavior-driven Visualization Recommendation / Proceedings of the 14th International Conference on Intelligent User Interfaces :315~324
Grawemeyer, B. / 2006 / Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Houben, S. / 2016 / Physikit / Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI' 16 :1608~1619
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UCI(KEPA) : I410-ECN-0101-2020-658-000348058