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
- 2013.11
- 수록면
- 7 - 26 (20page)
- DOI
- 10.15187/adr.2013.11.26.4.7
이용수
초록· 키워드
오류제보하기
Background Statistical thinking through enumerating and the place of this form of analytical approaching has forged us new conceptual and practical boundaries for not only design object settings?where measurement is approximated through realization?but also institutional and financial backings, where the scope or levels of testing find justification through this mathematical method. The selection of artifacts for design would lie at the basis of reasonable choice made by officials. Any decision, risk analysis, environmental impact or design strategy cannot appear without decision-making couched in terms of probabilities today. By covering opinion with a concept of objectivity, one could place judgment via computation models. Embodiment and development of Statistics through the enumeration has made our cognition to world and the way of conceiving others, including today’s design and various issues about it.
Method This research seeks to conceptually reframe the importance of statistical analysis, now largely considered the most concrete data form available to researchers. In exploring this conceptual framework, we find that it not only activates many concerns and issues pertaining to design studies more generally but also becomes a means for practical and theoretical approaches in more traditional scholarship found in the field of design. Just as the theoretical boundaries in design studies are being continually redrawn, this optic would also try to demonstrate more cognitive ways of understanding numerical data, how to articulations this data in relation to design planning, while accounting for new critical judge through estimation and probability, particularly the cultural conditions and situations rendered under this new modality.
Results In a historical context, numerical and statistical design thinking has become possible and is underpinned by three grand cultural movements: “Erosion of determinism,” “Discovery for regularities of people and their habits,” and “Avalanche of numbers.”
Conclusion Analytical research for humanistic understanding and epistemological consideration to design data-Statistics and its cultural and ontological conditions could be the insightful approach for enhancing reflective and creative research capacity for the design science.
Method This research seeks to conceptually reframe the importance of statistical analysis, now largely considered the most concrete data form available to researchers. In exploring this conceptual framework, we find that it not only activates many concerns and issues pertaining to design studies more generally but also becomes a means for practical and theoretical approaches in more traditional scholarship found in the field of design. Just as the theoretical boundaries in design studies are being continually redrawn, this optic would also try to demonstrate more cognitive ways of understanding numerical data, how to articulations this data in relation to design planning, while accounting for new critical judge through estimation and probability, particularly the cultural conditions and situations rendered under this new modality.
Results In a historical context, numerical and statistical design thinking has become possible and is underpinned by three grand cultural movements: “Erosion of determinism,” “Discovery for regularities of people and their habits,” and “Avalanche of numbers.”
Conclusion Analytical research for humanistic understanding and epistemological consideration to design data-Statistics and its cultural and ontological conditions could be the insightful approach for enhancing reflective and creative research capacity for the design science.
목차
1. Background, Purpose, and Approach
2. Statistics: Criterion to Recognize and Determine Everyday Lives
3. Design and Statistics
4. If so, statistics?
5. Conclusion
References
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