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Updated: Jun 3, 2025

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

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使用眼球追踪技术了解骑自行车者的视觉行为:系统性审查

Fatima Kchour¹, Salvatore Cafiso¹, Giuseppina Pappalardo¹

¹Department of Civil Engineering and Architecture, University of Catania, 64 Santa Sofia Street, 95123 Catania, Italy.

Sensors (Basel, Switzerland)

|January 11, 2025

概括

此摘要是机器生成的。

眼睛追踪技术揭示了道路设计,交通和天气如何影响骑自行车者的目光模式. 这项研究强调了十字路口作为骑自行车安全视觉工作负载的关键领域.

关键词:

骑自行车的人的安全.眼球追踪系统眼球追踪系统凝视行为凝视行为危险感知危险感知道路交通安全问题道路安全问题视觉注意力视觉注意力视觉注意力视觉工作负载的视觉工作负载.

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Last Updated: Jun 3, 2025

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科学领域:

* * 道路安全研究
* 人与计算机的交互
* * 运输工程运输工程

背景情况:

* 眼睛追踪系统可以实时了解骑自行车者的视觉行为.
*了解视觉注意力对于提高骑自行车者的安全至关重要.
* 之前的研究已经探索了影响骑自行车者感知的各种因素.

研究的目的:

* 系统地审查眼睛跟踪系统的应用,以提高骑自行车者的安全.
* 确定影响骑自行车者的视线模式和视觉注意力的关键因素.
*综合了有关骑自行车者的视觉工作量和危险感知方面的发现.

主要方法:

* 在SCOPUS和Web of Science数据库上进行系统的文献搜索.
* 在研究选择 (2010-2024) 时遵循PRISMA 2020指南.
*纳入标准侧重于评估骑自行车者在真实或虚拟交通环境中的视觉行为研究.

主要成果:

* 道路元件的设计,交通密度和天气显著影响骑自行车者的凝视模式.
* 交叉点被确定为显著的视觉工作负载的主要贡献者.
* 眼睛跟踪数据为骑自行车者视觉行为和安全提供了宝贵的见解.

结论:

* 眼睛追踪是了解骑自行车者的视觉行为和安全的一个有价值的工具.
*未来的研究应该解决诸如小样本规模和技术限制等局限性问题.
*建议包括利用多样化的样本,先进的眼睛追踪技术,并专注于外周视力.