在人工智能辅助的桥梁检查中,人类检测错误的认知和行为标记
Fatemeh Dalilian1, David Nembhard2
1University of Iowa, Iowa City, USA.
Applied ergonomics
|July 17, 2024
概括
人工智能 (AI) 和无人机技术增强了桥梁检查. 了解人 - 人工智能 - 无人机的互动是优化检查员绩效和防止检查期间错误的关键.
科学领域:
- 人与计算机的交互
- 认知人体工程学 认知人体工程学
- 结构工程 结构工程
背景情况:
- 在桥梁检查中,无人机和人工智能的整合有望提高效率和安全性.
- 这一技术转变显著改变了对人类检查员的认知需求.
- 了解人类-人工智能-无人机协作对于有效的系统设计至关重要.
研究的目的:
- 调查人工智能辅助无人机工作的人类检查员的认知和行为动态.
- 在模拟的桥梁检查中与人工智能辅助和无人工智能辅助进行检查员性能和认知负载的比较.
- 确定影响检查准确性的因素,并确定潜在的错误模式.
主要方法:
- 设计了一个模拟的无人机启用桥梁检查实验.
- 在两个条件下从参与者那里收集生物识别和行为数据:80%的AI准确性和没有AI协助.
- 分析的重点是认知处理,警,目光模式和视觉扫描效率.
主要成果:
- 认知和行为因素,如警和处理强度显著影响检查员的表现.
- 人工智能辅助和非辅助的检查条件之间,目光模式和视觉扫描效率有所不同.
- 特定的视觉扫描和凝视行为与错过关键缺陷的更高可能性相关.
结论:
- 设计人工智能辅助的检查系统需要对人类认知过程有深入的了解,以防止过载和错误.
- 根据认知需求定制检查协议,无人机和人工智能对于最佳性能至关重要.
- 对目光和扫描模式的洞察力可以指导检查员改善缺陷检测和整体检查质量.
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