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The Human Nervous System as a Model for Function Allocation in Human-Automation Interaction

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Advances in Neuroergonomics and Cognitive Engineering (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 586))

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Abstract

The purpose of this presentation is to discuss structure and function of the human nervous system from the view point of the distribution of authority, sharing responsibility and controlling ways as a best model for designing of human-automation interaction. The cognitive view of function allocation was also discussed. The broad scope of ergonomics led to the most transparent, predictable and controllable automation system design. Function allocation is an ergonomic method to decide whether a particular function will be accomplished by a human, by an automation system or by human-automation interaction. Investigation of the human nervous system from integrative perspective provides the better understanding of the basis of automation and designing a better function allocation. High cognitive demands in human-automation interface can also influence the function allocation in man-machine system. It is expected that this presentation will offer the overview of this emerging area, as well as the new and future areas of its application.

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Authors and Affiliations

  1. Department of Anatomy, Faculty of Medicine, Çukurova University, 01330, Adana, Turkey

    Behice Durgun

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  1. Behice Durgun
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Correspondence to Behice Durgun .

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Editors and Affiliations

  1. Department of Psychology, Human Factors and Applied Cognition, George Mason University, Fairfax, Virginia, USA

    Carryl Baldwin

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Durgun, B. (2018). The Human Nervous System as a Model for Function Allocation in Human-Automation Interaction. In: Baldwin, C. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2017. Advances in Intelligent Systems and Computing, vol 586. Springer, Cham. https://doi.org/10.1007/978-3-319-60642-2_38

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  • DOI: https://doi.org/10.1007/978-3-319-60642-2_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60641-5

  • Online ISBN: 978-3-319-60642-2

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