识别智能技术和人工智能解决方案,以应对人为因素和人体工程学挑战:一项调查研究
Junho Park1, Ava Rathenberg2, Jenn Panko3
1Department of Biomedical Engineering, Schulich School of Engineering, Calgary Centre for Innovative Technology (CCIT) Building, University of Calgary, Calgary, AB, T2N 4V8, Canada; Department of Community Health Science, Cumming School of Medicine, Calgary Centre for Innovative Technology (CCIT) Building, University of Calgary, Calgary, AB, T2N 4V8, Canada; Department of Psychology Faculty of Arts, Calgary Centre for Innovative Technology (CCIT) Building, University of Calgary, Calgary, AB, T2N 4V8, Canada.
应急救援人员经历了人为因素和人体工程学方面的挑战. 本研究提出了人工智能和智能技术解决方案,以提高高压力事件期间的响应者安全和福祉.
科学领域:
- 人类因素和人体工程学
- 应急响应技术 应急响应技术
- 人工智能应用程序 人工智能应用程序
背景情况:
- 应急救援人员面临着重要的人为因素和人体工程学 (HF/E) 挑战.
- 这些挑战包括在高压力情况下的身体,认知,情感和训练需求.
研究的目的:
- 调查HF/E应急响应人员面临的挑战.
- 提出创新的AI和智能技术解决方案,以减轻这些挑战.
主要方法:
- 对60名紧急响应人员进行调查,以确定关键的HF/E问题.
- 对收集的数据进行统计分析.
- 提出技术驱动解决方案的建议.
主要成果:
- 确定了关键的HF/E问题:疲劳,认知过载和情绪压力.
- 建议的解决方案包括带有外骨的个性化防护设备,用于情境意识的增强现实和虚拟现实培训.
- 统计分析证实了综合性方法的有效性.
结论:
- 先进的自适应技术对于提高应答者安全,效率和心理健康至关重要.
- 人工智能和智能技术为增强所有危险响应提供了优先解决方案.
- 这项研究既有利于应急救援人员,也有利于他们所服务的社区.
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