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

机译:UGV操作的个体差异:主观和心理生理预测因子的比较

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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:无人驾驶系统操作很复杂,认知苛刻的任务突出了高度可变工作量的任务。在这些复杂任务中预测性能和工作负载的能力可以为关于适合验证的从业者提供强大的工具。此外,监测工作量有助于诊断评估影响性能的因素。该分析的目标是审查基线的交叉任务的质量和并发的心理生理和主观措施,以预测任务性能和感知工作量。在理论层面,这些发现表明需要对处理“资源”的多变量概念化,包括隐含和明确的响应。在实际水平下,至少对于某些任务,可能需要在优化性能预测中进行主观和精神生理措施。

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