人机协作中的工作负载强度:一种个性化的方法来实现可持续的效率和福祉
Aljaz Javernik1, Robert Ojstersek1, Katja Kerman1
1University of Maribor, Slovenia.
Human factors
|February 11, 2026
概括
根据工人的能力定制协作机器人步伐,保持任务效率,同时减少生理压力. 这种方法是以人为中心的工作场所的关键,平衡生产力与福祉.
科学领域:
- 人与机器人的协作
- 职业健康 职业健康 职业健康
- 人体工程学就是人体工程学.
背景情况:
- 人机协作 (HRC) 提高了生产力,但往往忽视了工人的压力.
- 高工作负载强度,特别是来自机器人节奏,增加生理压力.
- 目前的HRC系统缺乏个性化,无法适应个体工人的能力.
研究的目的:
- 检查工作负载强度和个性化条件如何影响HRC中的压力和效率.
- 了解机器人节奏对生理反应和任务执行的影响.
- 为以人为中心的HRC系统的设计提供信息.
主要方法:
- 两个实验涉及与协作机器人 (CR) 进行组装任务.
- 使用心率变化指标 (HRV) 评估生理压力.
- 通过组装时间 (AT) 和个性化CR运动参数评估任务性能.
主要成果:
- 高工作量减少了组装时间,但增加了心率和降低了压力指标 (RMSSD).
- 个性化CR节奏保持了效率,同时降低了心率和改善了压力指标.
- 没有观察到高频 (HF) 功率的显著变化.
结论:
- 工作负载强度直接影响HRC效率和工人的压力.
- 将CR运动参数定制为员工能力,可以在不牺牲性能的情况下提高员工的幸福感.
- 适应性HRC策略对于可持续的生产力和工人健康至关重要.
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