M
Mark S. Young
Researcher at Brunel University London
Publications - 101
Citations - 6434
Mark S. Young is an academic researcher from Brunel University London. The author has contributed to research in topics: Poison control & Workload. The author has an hindex of 38, co-authored 97 publications receiving 5830 citations.
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State of science: mental workload in ergonomics
TL;DR: This work provides a general overview of the current state of affairs regarding the understanding, measurement and application of MWL in the design of complex systems over the last three decades, and discusses contemporary challenges for applied research.
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Distributed situation awareness in dynamic systems: theoretical development and application of an ergonomics methodology
Neville A. Stanton,Rebecca Stewart,Don Harris,Robert Houghton,Chris Baber,Richard McMaster,Paul M. Salmon,Geoff Hoyle,Guy H. Walker,Mark S. Young,Mark Linsell,Roy Dymott,Damian Green +12 more
TL;DR: It is proposed that agents within a system each hold their own situation awareness, which may be very different from (although compatible with) that of other agents, and that the authors should not always hope for, or indeed want, sharing of this awareness.
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Malleable attentional resources theory: A new explanation for the effects of mental underload on performance
Mark S. Young,Neville A. Stanton +1 more
TL;DR: A new theory to account for the effects of underload on performance is proposed, which suggests that future vehicle designers should employ their technology in driver support systems rather than in automation to replace the driver.
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What really is going on? Review of situation awareness models for individuals and teams
Paul M. Salmon,Neville A. Stanton,Guy H. Walker,Chris Baber,Daniel P Jenkins,Richard McMaster,Mark S. Young +6 more
TL;DR: In this article, a review and critique of what is currently known about situation awareness and team SA is presented, including a comparison of the most prominent individual and team models presented in the literature.
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The Field Guide to Understanding Human Error
TL;DR: The Limits of Expertise provides a comprehensive study of 19 case studies that lead the reader to think harder about the reasons behind the behaviours relative to the given environment, not some ideal.