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  • MABA-MABA or Abracadabra? Progress on Human–Automation Co-ordination

    Author(s)
    Dekker, Sidney
    Woods, David D.
    Griffith University Author(s)
    Dekker, Sidney
    Year published
    2002
    Metadata
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    Abstract
    In this paper we argue that substitution-based function allocation methods (such as MABA-MABA, or Men-Are-Better-At/Machines-Are-Better-At lists) cannot provide progress on human–automation co-ordination. Quantitative ‘who does what’ allocation does not work because the real effects of automation are qualitative: it transforms human practice and forces people to adapt their skills and routines. Rather than re-inventing or refining substitution-based methods, we propose that the more pressing question on human–automation co-ordination is ‘How do we make them get along together?’In this paper we argue that substitution-based function allocation methods (such as MABA-MABA, or Men-Are-Better-At/Machines-Are-Better-At lists) cannot provide progress on human–automation co-ordination. Quantitative ‘who does what’ allocation does not work because the real effects of automation are qualitative: it transforms human practice and forces people to adapt their skills and routines. Rather than re-inventing or refining substitution-based methods, we propose that the more pressing question on human–automation co-ordination is ‘How do we make them get along together?’
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    Journal Title
    Cognition,Technology and Work
    Volume
    4
    Issue
    4
    DOI
    https://doi.org/10.1007/s101110200022
    Subject
    Technology not elsewhere classified
    Information Systems
    Cognitive Sciences
    Publication URI
    http://hdl.handle.net/10072/60702
    Collection
    • Journal articles

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