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基于EEG的关于激励机制对塔式起重机司机工作效率的影响研究
Fuwang Wang1, Anni Luo1, Daping Chen1
1Northeast Electric Power University, School of Mechanic Engineering, Jilin, 132012, China.
Scientific reports
|October 28, 2025
概括
奖励-惩罚激励措施通过减少精神疲劳来提高塔式起重机操作员的效率. 分析电脑电图 (EEG) 信号显示,在激励条件下,工作表现和认知状态的显著改善.
科学领域:
- 建设管理建设管理.
- 职业健康和安全问题 职业健康和安全问题
- 认知神经科学 认知神经科学
背景情况:
- 塔式起重机操作员在施工中至关重要,但重复任务的疲劳会影响效率和安全.
- 了解操作员疲劳对于优化施工现场性能至关重要.
研究的目的:
- 调查奖励-惩罚激励机制对塔式起重机操作员工作效率的影响.
- 分析电脑电图 (EEG) 信号以评估不同激励条件下的认知状态.
主要方法:
- 在操作者脑电图信号上使用了多分形阻断波动分析 (MF-DFA).
- 在奖励-惩罚和无激励模式之间比较EEG信号特征 (Hurst指数范围,多分形频谱宽度).
- 在不同工作阶段测量预制元件的起重效率.
主要成果:
- 在两种激励模式之间观察到EEG信号的显著差异 (p < 0.05).
- 奖励-惩罚的激励措施导致了更大的赫斯特指数范围和EEG信号的多分形频谱宽度.
- 在奖励-惩罚激励模式下,预制元件的提升效率始终更高.
结论:
- 奖励-惩罚激励机制有效地提高了塔式起重机操作员的工作效率,并减少了精神疲劳.
- 脑电图分析提供了关于激励对人类在苛刻职业中的表现的认知影响的有价值的见解.
- 结果提供了通过激励设计优化建筑工地安全和运营效率的实际策略.
关键词:
电脑电磁波信号 电脑电磁波信号赫斯特指数 赫斯特指数国际货币基金 - 国际货币基金部多分形频谱的宽度是多分形的.奖励和惩罚是一种激励模式.塔式起重机操作员可以使用塔式起重机.工作效率的工作效率.更多相关视频
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