在人与机器人的协作中了解工人的幸福感和认知负载:系统性审查
Giulia Bassi1,2, Valeria Orso2,3, Silvia Salcuni1
1Department of Developmental Psychology and Socialization, University of Padua, Padova, Italy.
Journal of medical Internet research
|August 27, 2025
概括
制造业中的协作机器人 (cobots) 可以增加由于工作安全担忧和快速操作而引起的压力和焦虑. 需要在现实环境中进行进一步的研究,以确保协作机器人整合支持工人的福祉.
科学领域:
- 人与机器人的互动
- 工业工程
- 职业心理学
背景情况:
- 工业5.0将人类福利与技术进步放在首位.
- 协作机器人 (cobots) 正在重塑制造工艺.
- 需要对协作机器人对操作员情感福祉和认知工作负载的影响进行系统审查.
研究的目的:
- 在人与机器人合作 (HCC) 中系统地审查有关情感福祉 (焦虑,压力,抑郁) 和认知工作负载的经验研究.
- 解决文献上的差距,重点关注协作机器人整合的心理层面.
- 调查影响工业HCC情感福祉和认知工作负载的因素.
主要方法:
- 在多个数据库 (Web of Science,Scopus,ACM,IEEE Xplore) 中进行全面的文献搜索.
- 包括经过同行评审的实证研究,报告了关于HCC认知工作量或情感福祉的定量或定性数据.
- 两个评审人独立选择研究和提取数据.
主要成果:
- 自2020年以来,HCC的出版物显著增加.
- 大多数研究 (61%) 都是在实验室环境中进行的,这表明实践中的工业研究存在差距.
- 协作机器人可以减轻身体疲劳,但由于工作安全问题和高节奏操作,可能会增加压力和焦虑. 诸如协作机器人的速度,近距离,可用性和任务复杂性等因素影响了他们的幸福感和工作量.
- 较高的任务复杂性显著增加了认知工作量和压力水平,正如生理和自我报告测量所证明的那样.
结论:
- 已经确定了影响操作员情感幸福感和协作机器人的认知工作量的主要因素.
- 结果可以指导未来的研究和干预,以确保协作机器人集成支持制造业的生产力和操作者福祉.
- 未来的研究应优先考虑现实环境,标准化评估,生理测量和定性采访,以便有效实施.
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