A Review of Human Factors Challenges of Complex Adaptive Systems: Discovering and Understanding Chaos in Human Performance

Authors

    Authors

    W. Karwowski

    Comments

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    Abbreviated Journal Title

    Hum. Factors

    Keywords

    complex adaptive systems; human-systems interactions; system of systems; nonlinear dynamics; deterministic chaos; emergent behaviors; human-systems integration; NONLINEAR DYNAMICS; TEAM PERFORMANCE; TIME-SERIES; SCIENCE; COORDINATION; ERGONOMICS; MANAGEMENT; FRACTALS; NETWORK; DESIGN; Behavioral Sciences; Engineering, Industrial; Ergonomics; Psychology, ; Applied; Psychology

    Abstract

    Objective: In this paper, the author explores a need for a greater understanding of the true nature of human-system interactions from the perspective of the theory of complex adaptive systems, including the essence of complexity, emergent properties of system behavior, nonlinear systems dynamics, and deterministic chaos. Background: Human performance, more often than not, constitutes complex adaptive phenomena with emergent properties that exhibit nonlinear dynamical (chaotic) behaviors. Method: The complexity challenges in the design and management of contemporary work systems, including service systems, are explored. Examples of selected applications of the concepts of nonlinear dynamics to the study of human physical performance are provided. Results: Understanding and applications of the concepts of theory of complex adaptive and dynamical systems should significantly improve the effectiveness of human-centered design efforts of a large system of systems. Conclusion: Performance of many contemporary work systems and environments may be sensitive to the initial conditions and may exhibit dynamic nonlinear properties and chaotic system behaviors. Human-centered design of emergent human-system interactions requires application of the theories of nonlinear dynamics and complex adaptive system. Application: The success of future human-systems integration efforts requires the fusion of paradigms, knowledge, design principles, and methodologies of human factors and ergonomics with those of the science of complex adaptive systems as well as modern systems engineering.

    Journal Title

    Human Factors

    Volume

    54

    Issue/Number

    6

    Publication Date

    1-1-2012

    Document Type

    Article

    Language

    English

    First Page

    983

    Last Page

    995

    WOS Identifier

    WOS:000312007300010

    ISSN

    0018-7208

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