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向人类操作员提供关于自动化可靠性的不同准确程度:对人类绩效的影响。

Providing different levels of accuracy about the reliability of automation to a human operator: impact on human performance.

作者信息

Avril Eugénie

机构信息

Department of Psychology, Université Côte d'Azur, LAPCOS, Nice, France.

出版信息

Ergonomics. 2023 Feb;66(2):217-226. doi: 10.1080/00140139.2022.2069870. Epub 2022 Apr 29.

DOI:10.1080/00140139.2022.2069870
PMID:35451925
Abstract

Previous research has suggested that supervising automation can lead to a decrease in human performance, especially when automation is not totally reliable. Providing context-related information about reliability can help operators to better adjust their behaviour in a human-automation interaction context. However, previous studies have not specified the level of accuracy that this information should provide to the human operator. The objective of this study was to investigate the effects of different levels of information accuracy about an automation's reliability on human performance. Results showed that accuracy of information about reliability improves performance when specific percentages of reliability were given to the participants. Participants had a better performance in the condition of high accuracy of information. A link between perceived reliability and trust was found: the more the trust in automation increased, the more the perceived reliability increased. The experiment dealt with how accurate information about automation's reliability influences people's performance when supervising an automated task. Overall, this research suggests that designing systems that provide accurate, useful information can reduce the frequency of automation bias. Trust and perceived reliability of automation are related. MATB: multi attribute task battery.

摘要

先前的研究表明,监督自动化可能会导致人类绩效下降,尤其是当自动化并非完全可靠时。提供与可靠性相关的上下文信息可以帮助操作员在人机自动化交互环境中更好地调整自己的行为。然而,先前的研究并未明确该信息应向人类操作员提供的准确程度。本研究的目的是调查关于自动化可靠性的不同信息准确程度对人类绩效的影响。结果表明,当向参与者给出特定的可靠性百分比时,关于可靠性的信息准确性会提高绩效。在信息准确性高的条件下,参与者表现更好。研究发现了感知可靠性与信任之间的联系:对自动化的信任增加得越多,感知到的可靠性就增加得越多。该实验探讨了在监督自动化任务时,关于自动化可靠性的准确信息如何影响人们的绩效。总体而言,这项研究表明,设计能够提供准确、有用信息的系统可以减少自动化偏差的发生频率。自动化的信任和感知可靠性是相关的。MATB:多属性任务电池。

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