Hoffman Robert R, Hancock P A
Institute for Human and Machine Cognition, Pensacola, Florida.
University of Central Florida, Orlando, Florida.
Hum Factors. 2017 Jun;59(4):564-581. doi: 10.1177/0018720816686248. Epub 2017 Jan 30.
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.
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.
Using rational analytic and synthetic methods, we offer an approach to the measurement of resilience capacity.
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.
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.
Robust and validated measures of resilience will enable coherent and rational discussions of complex emergent properties in macrocognitive system science.
随着人因工程学(HF/E)朝着更全面的人机技术系统视角发展,诸如恢复力等新出现的特性应运而生。我们在此的目的是推动关于如何衡量后一种复杂现象的讨论。
恢复力如今已成为技术和工作系统设计中被广泛提及的目标。它涵盖了恢复力工程这一新兴运动。作为HF/E更广泛系统方法的一部分,这一概念既需要明确的定义,也需要相关的测量方法。这样的努力体现了我们目前的工作。
我们运用合理的分析与综合方法,提供一种测量恢复力能力的方法。
我们阐述了如何运用我们提出的方法在多个系统和领域间比较恢复力,并强调其未来发展和验证的途径。
突出了对恢复力及其相关概念(如适应性)的前景和潜力的新关注。对这些新出现维度持怀疑态度的观点必须以定量答案回应;我们在此提出一种方法。
可靠且经过验证的恢复力测量方法将有助于在宏观认知系统科学中对复杂的新出现特性进行连贯且合理的讨论。