眼睛在路上:大脑计算机接口和交通中的认知分心
Victoria Bosch1, Giulio Mecacci2
1Machine Learning, Institute of Cognitive Science, Osnabrück University, Osnabrück, Germany.
Frontiers in neuroergonomics
|January 18, 2024
概括
新型脑电脑接口 (BCI) 提供了增强的控制,但在交通中存在双重风险. 他们的认知负载和检测挑战需要为司机和骑自行车者采取积极的安全措施.
科学领域:
- 神经技术的神经技术
- 人与计算机的交互
- 运输安全运输安全
背景情况:
- 穿戴式神经技术,包括脑-计算机接口 (BCI),正在迅速发展,提供认知洞察力和无手控制.
- 增加可访问性和可负担性表明BCI将成为常见,影响日常生活和运输等特定部门.
- 注意力是一种稀缺的资源,因此影响焦点的创新,如驾驶和骑自行车,对于评估至关重要.
研究的目的:
- 分析与将脑计算机接口 (BCI) 集成到交通环境中相关的双重风险.
- 与当前的自由手设备相比,突出了增加认知负载和分心的潜力.
- 为了安全和隐私,解决视觉检测和规范BCI在运输中的使用方面的挑战.
主要方法:
- 新兴可穿戴神经技术的文献审查和风险分析.
- 在BCI和现有的自由手设备之间对认知负载和分心潜力的比较评估.
- 探索在公共空间,特别是交通中使用BCI的检测和监管挑战.
主要成果:
- BCI设备可能会加剧认知的人与技术的互动,可能会超过当前无手设备的分心水平.
- 在交通中使用BCI对执法和监管部门的视觉检测提出了重大挑战.
- 在不损害用户隐私和完整性的情况下防止BCI的滥用是一个复杂的问题.
结论:
- 在交通中广泛采用BCI需要研究人员,工程师和政策制定者积极预测.
- 确保道路安全需要解决认知负载,可检测性和BCI技术监管的独特风险.
- 需要一个平衡的方法来利用BCI的好处,同时减轻对道路使用者的潜在危险.
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