Human factors
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We aimed to identify opportunities for application of human factors knowledge base to mitigate disaster management (DM) challenges associated with the unique characteristics of the COVID-19 pandemic. ⋯ This short review highlights the potential for the field's contribution to proactive and resilient DM for the ongoing and future pandemics.
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This study reports current status of knowledge and challenges associated with the emergency vehicle (police car, fire truck, and ambulance) crashes, with respect to the major contributing risk factors. ⋯ This information is helpful for emergency vehicle drivers, safety practitioners, public safety agencies, and research communities to mitigate crash risks. It also offers ideas for researchers to advance technologies and strategies to further emergency vehicle safety on the road.
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The objectives of this study were to (a) review electronic medical record (EMR) and related electronic health record (EHR) interface usability issues, (b) review how EMRs have been evaluated with safety analysis techniques along with any hazard recognition, and (c) formulate design guidelines and a concept for enhanced EMR interfaces with a focus on diagnosis and documentation processes. ⋯ The design guidelines and new interface concept can be used for prototyping and testing enhanced EMRs.
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Review Meta Analysis Comparative Study
Does team training improve team performance? A meta-analysis.
This research effort leveraged the science of training to guide a taxonomic integration and a series of meta-analyses to gauge the effectiveness and boundary conditions of team training interventions for enhancing team outcomes. ⋯ Applications of the results from this research are numerous. Those who design and administer training can benefit from these findings in order to improve the effectiveness of their team training interventions.
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Review Comparative Study
Designing effective human-automation-plant interfaces: a control-theoretic perspective.
In this article, we propose the application of a control-theoretic framework to human-automation interaction. The framework consists of a set of conceptual distinctions that should be respected in automation research and design. We demonstrate how existing automation interface designs in some nuclear plants fail to recognize these distinctions. ⋯ A new set of design guidelines is introduced that builds upon the contributions of previous research and draws complementary insights from the control-theoretic framework. The result is a coherent and systematic approach to the design of human-automation-plant interfaces that will yield more concrete design criteria and a broader set of design tools. Applications of this research include improving the effectiveness of human-automation interaction design and the relevance of human-automation interaction research.