Working Conditions of Industrial Robot Operators–An Overview of Technology Dissemination, Job Characteristics, and Health Indicators in Modern Production Workplaces

IF 3.5 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Human-Machine Systems Pub Date : 2024-03-06 DOI:10.1109/THMS.2024.3368525

Matthias Hartwig;Patricia Rosen;Sascha Wischniewski

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引用次数: 0

Abstract

Flexible robotic systems change not only the production workflow as a whole but also the individual working conditions of their operators. The aim of this analysis of our study with more than 5900 participants was to get an overview of demographics, job characteristics, and health indicators of robot operators in comparison to nonrobotic machine operators and employees in Germany. We collected data by telephone interviews measuring technology use, stressors, and resources at work as well as health indicators. Results indicate systematic differences in working stressors and resources for robot users compared to other machine users as well as employees in general. In particular, the scope for decision-making at work was smaller for robot users, especially regarding the amount of work or the speed of work. Only isolated links could be found regarding the health indicators. The results therefore imply constant consideration of human factors to ensure productive as well as healthy working conditions with robots in modern industry.

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工业机器人操作员的工作条件--现代生产工作场所的技术传播、工作特点和健康指标概览

灵活的机器人系统不仅改变了整个生产工作流程，也改变了操作员的个人工作条件。我们对 5900 多名参与者进行了研究分析，目的是了解机器人操作员的人口统计学、工作特征和健康指标，并与德国的非机器人机器操作员和员工进行比较。我们通过电话访谈收集数据，测量技术使用情况、工作压力、工作资源以及健康指标。结果表明，与其他机器使用者和普通员工相比，机器人使用者在工作压力和资源方面存在系统性差异。特别是，机器人用户的工作决策空间较小，尤其是在工作量或工作速度方面。在健康指标方面，只能发现个别联系。因此，研究结果表明，在现代工业中使用机器人时，应不断考虑人为因素，以确保生产效率和健康的工作条件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Human-Machine Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS

CiteScore

7.10

自引率

11.10%

发文量

136

期刊介绍： The scope of the IEEE Transactions on Human-Machine Systems includes the fields of human machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.