Book Reviews
Book Reviews
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DOI:
10.1080/13669870600899091
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发表时间:
2007-04
影响因子:
5.1
通讯作者:
E. Hollnagel;David D. Woods
中科院分区:
文献类型:
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作者:
E. Hollnagel;David D. Woods
The historical backdrop to these two books by Erik Hollnagel and David Woods is growth in the power of technology over recent decades and the resulting transformations of work in human-machine systems, such as power plants and transport systems. These changes created a requirement to better understand and design systems from the perspective of the human operator. The authors originally formulated Cognitive Systems Engineering (CSE) in the early 1980s with the ultimate objective of designing joint cognitive systems (JCSs) that can effectively control the situations in which they have to function. The JCS is a fundamental concept of CSE, through which a human-machine ensemble is seen as a single functional entity. A key benefit of the application of CSE is enhanced system safety. ‘‘Joint Cognitive Systems: Foundations of Cognitive Systems Engineering’’ (referred to hereafter as JCS-Foundations) characterizes CSE as a conceptual and methodological basis for research on human-machine systems. The main responsibility for writing this book lay with Erik Hollnagel. ‘‘Joint Cognitive Systems: Patterns in Cognitive Systems Engineering’’ (referred to hereafter as JCSPatterns) emphasizes approaches to research and design in CSE and was written primarily by David Woods. The two books can be read independently of each other, but are complementary. Both are of interest to students, educators, engineers and researchers interested in the performance and safety of humanmachine systems. The driving forces for the development of CSE were a) the growing complexity of socio-technical systems, b) the problems, failures, and accidents resulting from a clumsy use of emerging technologies, and c) limitations of the information processing paradigm. That paradigm, which has long provided a basis for the study of human-machine systems, is characterized in JCS-Foundations. The influences of the Shannon-Weaver communication model and the stimulusorganism-response (S-O-R) framework upon its development are highlighted, including a stress on interaction between human and machine. While recognizing that this approach has provided an enormously valuable way of thinking about Book Reviews Journal of Risk Research Vol. 10, No. 3, 413–421, April 2007