並列摘要
Smart Things^1 are objects that are connected (IOT) and dedicated for making people daily life simpler. Because Smart Things are taking decision for people and, for doing so, have to be adapted to their users, they are made of cognitive technologies that are technologies that include knowledge about human and about human cognition in order to process the data users are providing when interacting with Smart Things. The problem under investigation is how to design future Smart Things through prospective ergonomics. Derived from the action-based theory of categorization applied to contextual decision-making, the theory we present is based on deriving inferences from the multi-layers of linked properties (surface, structural, functional, procedural and behavioral properties) for the on-line cognitive computing of usages of Smart Things with sensors. Some examples are provided, emphasizing the role of the part-whole relational structure in designing future Smart Things.
被引用紀錄
延伸閱讀
- 周玲臺（2006）。WORK SMART。學生事務─理論與實務，44(3-4)，45-53。https://www.airitilibrary.com/Article/Detail?DocID=P20171024001-200603-201711170006-201711170006-45-53
- 周碩彥、Anindhita Dewabharata（2016）。Introduction to Smart Factory。科儀新知，(208)，5-15。https://www.airitilibrary.com/Article/Detail?DocID=10195440-201609-201610050019-201610050019-5-15
- Li, S. (2021). Research on the Development Trend of Smart Community. International Journal of Social Science and Education Research, 4(7), 13-17. https://doi.org/10.6918/IJOSSER.202107_4(7).0003
- Her, R. S. (2007). Smartness and Sharpness. Medicine with Humanity, (8), 7-9. https://doi.org/10.6987/MH.200711.0007
- 賴振昌（2018）。Internet of Things Smart Monitoring System〔碩士論文，朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-2103201910465073