视觉信息用于碰撞预测的年龄相关变化:使用基于负担能力模型的研究
Kazuyuki Sato1, Kazunobu Fukuhara1, Takahiro Higuchi1
1Department of Health Promotion Science, Tokyo Metropolitan University, Hachioji, Tokyo, Japan.
Experimental aging research
|November 9, 2023
概括
老化损害了与移动物体的碰撞预测. 年长的成年人在轴承角度感知方面遇到困难,但对象膨胀却没有,这表明与年龄相关的视觉处理变化会影响避免碰撞.
科学领域:
- 视觉科学 视觉科学 视觉科学
- 人与计算机的互动.
- 老年学是一门学科.
背景情况:
- 与移动物体的碰撞预测随着年龄的增长而下降.
- 基于负担能力的模型指导了对此任务至关重要的光学变量的识别.
- 之前的研究强调了光学变量在拦截任务中的重要性.
研究的目的:
- 为了识别老年人发现碰撞预测具有挑战性的光学变量.
- 研究扰乱特定光学变量对老年人碰撞预测性能的影响.
- 为了确定与年龄相关的碰撞预测缺陷是否与特定的视觉线索有关.
主要方法:
- 在虚拟现实 (VR) 环境中实施了修改后的拦截任务.
- 对光学变量进行了干扰:物体膨胀 (垂直/水平) 和轴承角度.
- 18名老年人和15名年轻的成年人参与了这项研究,在扰乱的条件下执行VR任务.
主要成果:
- 老年人的表现在轴承角度受到干扰时显著下降.
- 相反,老年人没有受到垂直或水平物体膨胀中扰动的负面影响.
- 与老年人相比,年轻人的表现通常不受干扰的影响.
结论:
- 在老年人中,碰撞预测缺陷与轴承角度感知困难特别相关.
- 感知物体膨胀的年龄相关障碍似乎不是碰撞预测下降的主要原因.
- 结果表明,针对老年人进行视觉训练的有针对性的方法可以改善在动态环境中避免碰撞.
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