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Individual Differences in UGV Operation: A Comparison of Subjective and Psychophysiological Predictors

机译:UGV操作中的个体差异:主观和心理生理预测指标的比较

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Unmanned systems operations are complex, cognitively demanding tasks that elicit highly variable workload. The ability to predict performance and workload within these complex tasks can provide a powerful tool for practitioners regarding fit-for-duty verification. Further, monitoring workload aids in diagnostic assessment of factors that impact performance. The goal for this analysis was to examine the quality of cross-task aver-ages of both baseline and concurrent psychophysiological and subjective measures to predict task perfor-mance and perceived workload. At a theoretical level, these findings suggest the need for a multivariate conceptualization of processing ‘resources’, encompassing both implicit and explicit responses. At a practical level, both subjective and psychophysiological measures may be necessary for optimizing performance pre-diction, at least for certain tasks.
机译:无人系统操作是复杂的,对认知要求很高的任务,会引起高度可变的工作负载。在这些复杂任务中预测性能和工作负载的能力可以为从业人员提供适合职责验证的强大工具。此外,监视工作负载有助于对影响性能的因素进行诊断评估。该分析的目的是检查基线和同时进行的心理生理和主观措施的跨任务平均质量,以预测任务绩效和可感知的工作量。从理论上讲,这些发现表明需要对处理“资源”进行多元概念化,包括隐性和显性响应。在实践上,至少对于某些任务而言,主观和心理生理措施对于优化绩效预测可能都是必要的。

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