工作指导困难对认知负载和操作效率的影响
Abdulrahman K Eesee1,2, Vera Varga3, György Eigner4,5
1Department of System Engineering, University of Pannonia, Veszprém, 8200, Hungary.
Scientific reports
|March 31, 2025
概括
基于视觉的指令减少认知负载,提高工业4.0设置中的任务效率. 然而,基于代码的指令可以提高复杂任务的精度,这表明认知轻松性和准确性之间的权衡.
科学领域:
- 工业工程 工业工程 工业工程
- 人与计算机的交互
- 认知心理学 认知心理学
背景情况:
- 工业4.0整合需要优化工作指令,以满足人类的性能.
- 在第五次工业革命以人为中心的方法中,平衡认知负载和任务结果至关重要.
- 认知负载理论 (CLT) 为理解教学对绩效的影响提供了一个框架.
研究的目的:
- 为了比较基于视觉和基于代码的工作指令.
- 为了确定认知过载是否可以在不影响任务结果的情况下减少.
- 评估教学方法对工业组装任务的认知负载和操作效率的影响.
主要方法:
- 30名学术参与者使用视觉和基于代码的指令执行了组装任务.
- 客观认知负载指标包括Galvanic皮肤反应,心率变化和手动加速.
- 用NASA任务负载指数和迪压力状态调查问卷来评估主观认知负载.
- 性能指标包括任务完成时间 (TCT),任务重复次数 (NTR) 和组装精度.
主要成果:
- 基于视觉的指令显著降低了认知负载.
- 基于视觉指令的指令改善了TCT和NTR.
- 基于代码的指令导致了更高的组装精度,尽管增加了认知负载.
- 通过视觉指令观察到认知负载的减少.
- 观察到TCT和NTR的性能改善与视觉指令与[公式:见文本].
- 通过基于代码的指令改进了组装精度,其中包含了[公式:参见文本].
结论:
- 简单,直接的指令 (以视觉为基础) 提高任务执行,减少认知负载.
- 复杂的,深思熟虑的指令 (基于代码) 可能对于要求高精度的任务更优越.
- 教学设计应考虑认知负载,效率和精度要求之间的权衡.
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