Resilience Markers for Safer Systems and Organisations
被引:13
作者:
Back, Jonathan
论文数: 0引用数: 0
h-index: 0
机构:
UCL, Interact Ctr, London WC1E 6BT, EnglandUCL, Interact Ctr, London WC1E 6BT, England
Back, Jonathan
[1
]
Furniss, Dominic
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机构:
UCL, Interact Ctr, London WC1E 6BT, England
OECD Halden Reactor Project, Ind Psychol Div, London, EnglandUCL, Interact Ctr, London WC1E 6BT, England
Furniss, Dominic
[1
,2
]
Hilderbrandt, Michael
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h-index: 0
机构:UCL, Interact Ctr, London WC1E 6BT, England
Hilderbrandt, Michael
Blandford, Ann
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h-index: 0
机构:
UCL, Interact Ctr, London WC1E 6BT, EnglandUCL, Interact Ctr, London WC1E 6BT, England
Blandford, Ann
[1
]
机构:
[1] UCL, Interact Ctr, London WC1E 6BT, England
[2] OECD Halden Reactor Project, Ind Psychol Div, London, England
来源:
COMPUTER SAFETY, RELIABILITY, AND SECURITY, PROCEEDINGS
|
2008年
/
5219卷
基金:
英国工程与自然科学研究理事会;
关键词:
Human error;
distributed cognition;
control rooms;
nuclear domain;
D O I:
10.1007/978-3-540-87698-4_11
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
If computer systems are to be designed to foster resilient performance it is important to be able to identify contributors to resilience. The emerging practice of Resilience Engineering has identified that people are still a primary source of resilience. and that the design of distributed systems should provide ways of helping people and organisations to cope with complexity. A]though resilience has been identified as a desired property, researchers and practitioners do not have a clear understanding of what manifestations of resilience look like. This paper discusses some examples of strategies that people can adopt that improve the resilience of it system. Critically, analysis reveals that the generation of these strategies is only possible if the system facilitates them. As an example. this paper discusses practices, Such its reflection, that are known to encourage resilient behavior in people. Reflection allows systems to better prepare for on coming demands. We show that contributors to the practice of reflection manifest themselves at different levels of abstraction: from individual strategies to practices in, for example, control room environments. The analysis of interaction at these levels enables resilient properties of a system to be 'seen', so that systems can be designed to explicitly support them. We then present in analysis of resilience at an organisational level within the nuclear domain. This highlights some of the challenges facing the Resilience Engineering approach and the need for using I collective language to articulate knowledge of resilient practices across domains.