Measuring Resilience

被引:54
|
作者
Hoffman, Robert R. [1 ]
Hancock, P. A. [2 ,3 ]
机构
[1] Inst Human & Machine Cognit, 40 S Alcaniz St, Pensacola, FL 32502 USA
[2] Univ Cent Florida, Dept Psychol, Orlando, FL 32816 USA
[3] Univ Cent Florida, Inst Simulat & Training, Orlando, FL 32816 USA
关键词
resilience; measurement capacity; adaptability; sensemaking; macrocognitive systems; PART; 2; TEAMWORK; PERFORMANCE; CHALLENGES; AUTOMATION; WORKLOAD; DYNAMICS; COMPLEX; SENSE; MODEL;
D O I
10.1177/0018720816686248
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Objective: As human factors and ergonomics (HF/E) moves to embrace a greater systems perspective concerning human-machine technologies, new and emergent properties, such as resilience, have arisen. Our objective here is to promote discussion as to how to measure this latter, complex phenomenon. Background: Resilience is now a much-referenced goal for technology and work system design. It subsumes the new movement of resilience engineering. As part of a broader systems approach to HF/E, this concept requires both a definitive specification and an associated measurement methodology. Such an effort epitomizes our present work. Method: Using rational analytic and synthetic methods, we offer an approach to the measurement of resilience capacity. Results: We explicate how our proposed approach can be employed to compare resilience across multiple systems and domains, and emphasize avenues for its future development and validation. Conclusion: Emerging concerns for the promise and potential of resilience and associated concepts, such as adaptability, are highlighted. Arguments skeptical of these emerging dimensions must be met with quantitative answers; we advance one approach here. Application: Robust and validated measures of resilience will enable coherent and rational discussions of complex emergent properties in macrocognitive system science.
引用
收藏
页码:564 / 581
页数:18
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