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  • Models of Automation Surprise: Results of a Field Survey in Aviation

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    Author(s)
    De Boer, Robert
    Dekker, Sidney
    Griffith University Author(s)
    Dekker, Sidney
    Year published
    2017
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    Abstract
    Automation surprises in aviation continue to be a significant safety concern and the community’s search for effective strategies to mitigate them are ongoing. The literature has offered two fundamentally divergent directions, based on different ideas about the nature of cognition and collaboration with automation. In this paper, we report the results of a field study that empirically compared and contrasted two models of automation surprises: a normative individual-cognition model and a sensemaking model based on distributed cognition. Our data prove a good fit for the sense-making model. This finding is relevant for aviation ...
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    Automation surprises in aviation continue to be a significant safety concern and the community’s search for effective strategies to mitigate them are ongoing. The literature has offered two fundamentally divergent directions, based on different ideas about the nature of cognition and collaboration with automation. In this paper, we report the results of a field study that empirically compared and contrasted two models of automation surprises: a normative individual-cognition model and a sensemaking model based on distributed cognition. Our data prove a good fit for the sense-making model. This finding is relevant for aviation safety, since our understanding of the cognitive processes that govern human interaction with automation drive what we need to do to reduce the frequency of automation-induced events.
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    Journal Title
    Safety
    Volume
    3
    DOI
    https://doi.org/10.3390/safety3030020
    Copyright Statement
    © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
    Subject
    Control engineering, mechatronics and robotics
    Health services and systems
    Public health
    Injury prevention
    Publication URI
    http://hdl.handle.net/10072/377555
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    • Journal articles

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