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自动化系统与信任:矿工对移动机器接近检测系统的信任

Automated Systems and Trust: Mineworkers' Trust in Proximity Detection Systems for Mobile Machines.

作者信息

Swanson LaTasha R, Bellanca Jennica L, Helton Justin

机构信息

Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Pittsburgh Mining Research Division, USA.

出版信息

Saf Health Work. 2019 Dec;10(4):461-469. doi: 10.1016/j.shaw.2019.09.003. Epub 2019 Sep 25.

DOI:10.1016/j.shaw.2019.09.003
PMID:31890329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6933178/
Abstract

BACKGROUND

Collisions involving workers and mobile machines continue to be a major concern in underground coal mines. Over the last 30 years, these collisions have resulted in numerous injuries and fatalities. Recently, the Mine Safety and Health Administration (MSHA) proposed a rule that would require mines to equip mobile machines with proximity detection systems (PDSs) (systems designed for automated collision avoidance). Even though this regulation has not been enacted, some mines have installed PDSs on their scoops and hauling machines. However, early implementation of PDSs has introduced a variety of safety concerns. Past findings show that workers' trust can affect technology integration and influence unsafe use of automated technologies.

METHODS

Using a mixed-methods approach, the present study explores the effect that factors such as mine of employment, age, experience, and system type have on workers' trust in PDSs for mobile machines. The study also explores how workers are trained on PDSs and how this training influences trust.

RESULTS

The study resulted in three major findings. First, the mine of employment had a significant influence on workers' trust in mobile PDSs. Second, hands-on and classroom training was the most common types of training. Finally, over 70% of workers are trained on the system by the mine compared with 36% trained by the system manufacturer.

CONCLUSION

The influence of workers' mine of employment on trust in PDSs may indicate that practitioners and researchers may need to give the organizational and physical characteristics of each mine careful consideration to ensure safe integration of automated systems.

摘要

背景

涉及工人与移动机器的碰撞事故仍是地下煤矿的一个主要担忧问题。在过去30年里,这些碰撞事故已导致众多人员伤亡。最近,美国矿山安全与健康管理局(MSHA)提出一项规定,要求煤矿为移动机器配备接近检测系统(PDSs)(旨在自动避免碰撞的系统)。尽管这项规定尚未颁布,但一些煤矿已在其铲运机和运输机器上安装了PDSs。然而,PDSs的早期实施引发了各种安全担忧。过去的研究结果表明,工人的信任会影响技术整合,并影响自动化技术的不安全使用。

方法

本研究采用混合方法,探讨就业煤矿、年龄、经验和系统类型等因素对工人对移动机器PDSs信任的影响。该研究还探讨了工人如何接受PDSs培训以及这种培训如何影响信任。

结果

该研究得出了三个主要发现。第一,就业煤矿对工人对移动PDSs的信任有显著影响。第二,实践操作和课堂培训是最常见的培训类型。最后,超过70%的工人由煤矿进行系统培训,相比之下,由系统制造商培训的工人占36%。

结论

工人就业煤矿对PDSs信任的影响可能表明,从业者和研究人员可能需要仔细考虑每个煤矿的组织和物理特征,以确保自动化系统的安全整合。

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