Title

A Review Of Human Factors Challenges Of Complex Adaptive Systems: Discovering And Understanding Chaos In Human Performance

Keywords

complex adaptive systems; deterministic chaos; emergent behaviors; human- systems integration; human-systems interactions; nonlinear dynamics; system of systems

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. © 2012, Human Factors and Ergonomics Society.

Publication Date

12-1-2012

Publication Title

Human Factors

Volume

54

Issue

6

Number of Pages

983-995

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1177/0018720812467459

Socpus ID

84870878892 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84870878892

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