Identifying how automation can lose its intended benefit along the development process: a research plan

NDM'09 Proceedings of the 9th Bi-annual international conference on Naturalistic Decision Making(2009)

引用 0|浏览2
暂无评分
摘要
Motivation - Automation can fail to deliver the target safety or productivity benefit as intended by those managers and designers advocating its introduction. In a safety critical domain this problem is of significance not only because the unexpected effects of automation might prevent its widespread usage but also because they might turn out to be a contributor to incident and accidents. Originality/value - Research on failures of automation to deliver the intended benefit has focused mainly on human automation interaction. This PhD research plan aims at characterizing decisions - taken under productive pressure - for those involved in the automation development process, to identify where and when the initial intention the automation is supposed to deliver can drift from the initial idea. Expected Finding - The objective is to develop Anti-Drift Principles to identify and compensate proactively for possible sources of drift in the development of new automation. Research Approach - The research is based on case study and is currently entering Year 2.
更多
查看译文
关键词
intended benefit,initial intention,phd research plan,new automation,target safety,human automation interaction,automation development process,productivity benefit,initial idea,safety critical domain
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要