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  • 1
    Publication Date: 2019-07-20
    Description: Individual differences in cognitive processing relate to critical performance differences in real-world environments. Task switching is required for many of them and especially for task management during overload. Research exploring individual differences related to switching behavior (both frequency, and adherence to optimal switch times) is, however, sparse. We examined these relationships here, using the attentional network task to index executive control, and an ongoing tracking task (within a larger suite of concurrent task demands) to examine switching behavior. The results failed to support a general relationship between executive control and frequency in a complex, heterogeneous multi-task environment. However, higher executive control participants more successfully exploited optimal switching times, highlighting the varying role of individual differences in task management, when choice is unconstrained.
    Keywords: Life Sciences (General)
    Type: ARC-E-DAA-TN26426 , Human Factors and Ergonomics Annual Meeting; Oct 26, 2015 - Oct 30, 2015; Los Angeles, CA; United States
    Format: application/pdf
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  • 2
    Publication Date: 2019-07-13
    Description: The goal of this study was to advance understanding and prediction of the impact of circadian rhythm on aspects of complex task performance during unexpected automation failures, and subsequent fault management. Participants trained on two tasks: a process control simulation, featuring automated support; and a multi-tasking platform. Participants then completed one task in a very early morning (circadian night) session, and the other during a late afternoon (circadian day) session. Small effects of time of day were seen on simple components of task performance, but impacts on more demanding components, such as those that occur following an automation failure, were muted relative to previous studies where circadian rhythm was compounded with sleep deprivation and fatigue. Circadian low participants engaged in compensatory strategies, rather than passively monitoring the automation. The findings and implications are discussed in the context of a model that includes the effects of sleep and fatigue factors.
    Keywords: Life Sciences (General)
    Type: ARC-E-DAA-TN26422 , Human Factors and Ergonomics Annual Meeting; Oct 26, 2015 - Oct 30, 2015; Los Angeles, CA; United States
    Format: application/pdf
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