L
Laura Rafferty
Researcher at University of Southampton
Publications - 25
Citations - 1473
Laura Rafferty is an academic researcher from University of Southampton. The author has contributed to research in topics: Situation awareness & Command and control. The author has an hindex of 12, co-authored 25 publications receiving 1371 citations. Previous affiliations of Laura Rafferty include Brunel University London.
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Human Factors Methods: A Practical Guide for Engineering and Design: Second Edition
TL;DR: This second edition of Human Factors Methods: A Practical Guide for Engineering and Design now presents 107 design and evaluation methods as well as numerous refinements to those that featured in the original.
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Measuring Situation Awareness in complex systems: Comparison of measures study
Paul M. Salmon,Neville A. Stanton,Guy H. Walker,Daniel P Jenkins,Darshna Ladva,Laura Rafferty,Mark S. Young +6 more
TL;DR: In this paper, a study was conducted to compare two different situation awareness measures (a freeze probe recall approach and a post trial subjective rating approach) when used to assess participant situation awareness during a military planning task.
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Translating concepts of complexity to the field of ergonomics
TL;DR: It is concluded that humans are a major source of and solution to complexity in systems and that complexity is a powerful contingency factor, which should be considered to ensure that ergonomics approaches match the true nature of ergonomic problems.
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Is it really better to share? Distributed situation awareness and its implications for collaborative system design
TL;DR: In this paper, a distributed cognition-inspired system-based model of situation awareness in collaborative systems, along with an accompanying modelling approach, the propositional network methodology, is presented.
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Using the Decision-Ladder to Add a Formative Element to Naturalistic Decision-Making Research
TL;DR: A prototypical model of how decision making can proceed within an environment, independent of situation or actor, is presented and an approach for capturing formative descriptions of existing decision-making processes is presented.