Assessment Function Analysis of Human-Automation Team Performance: A reanalysis of data from Yamani and McCarley (2018)
Assessment Function Analysis of Human-Automation Team Performance: A reanalysis of data from Yamani and McCarley (2018)
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人类自动化团队绩效的评估函数分析：对 Yamani 和 McCarley (2018) 数据的重新分析
DOI：
10.1177/1541931218621348
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Sidney T. Scott
中科院分区：
文献类型：
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作者：
Cara M. Zinn;Yusuke Yamani;Joseph W. Houpt;Sidney T. Scott
Yamani和McCarley（2018）使用工作量容量分析来量化快速长度判断任务中的自动化使用策略，并表明操作员在困难任务条件下延迟了他们的响应。与接近兼容原理的预测相反，结果显示，根据任务难度的不同，在刺激物中嵌入辅助决策线索的显示器和没有嵌入辅助决策线索的显示器之间，操作员的表现相当。本研究利用评估函数的功能主成分分析（Townsend & Altieri, 2012）重新分析了Yamani和McCarley（2018）的数据，该分析结合了响应时间和准确性，以分析以准确性为条件的工作量容量。结果表明，两个组成部分，早期和晚期的RT期间，都增加了工作量的能力，并表明集成显示可能加快操作员的反应，只有在简单的任务条件下。讨论了研究结果的应用意义。
Yamani and McCarley (2018) used workload capacity analysis to quantify automation usage strategy in a speeded length-judgment task and showed that operators delayed their responses under difficult task conditions. Contrary to predictions of the proximity compatibility principle, the results showed comparable operator performance between displays that embedded the aid’s decisional cue within the stimuli and those that did not, depending on task difficulty. This study reanalyzes the data of Yamani and McCarley (2018) employing functional principal component analysis of assessment functions (Townsend & Altieri, 2012) that combines both response times and accuracy for an analysis of workload capacity conditional to accuracy. The results indicate two components, early and late RT periods, both increased workload capacity and suggest that the integrated display may speed operator responses only under easy task conditions. Applied implications of the results are discussed.