通过在虚拟现实中进行感知训练,提高老年人的碰撞预测,强调对象膨胀
Kazuyuki Sato1, Takahiro Higuchi2
1Department for the Psychology of Human Movement and Sport, Friedrich Schiller University Jena, Jena, Germany.
Frontiers in sports and active living
|November 20, 2025
概括
针对物体膨胀线索的感知训练显著改善了老年人的碰撞预测,而不是重复任务. 然而,这种训练并没有提高对扩张的敏感性或道路交叉的准确性.
科学领域:
- 老年学是一门学科.
- 感知心理学 感知心理学
- 人与计算机的交互
背景情况:
- 碰撞预测能力随着年龄的增长而下降,这与对物体膨胀线索的敏感性降低有关.
- 虚拟现实 (VR) 提供了一个可控的环境来研究与年龄相关的感知变化.
研究的目的:
- 调查对象膨胀的感知训练是否可以改善老年人碰撞预测.
- 为了比较有针对性的扩展培训与重复任务实践的有效性.
- 评估培训是否通用到VR中的现实交叉路口场景.
主要方法:
- 20名老年人 (平均年龄为71.35岁) 参与了基于VR的任务.
- 培训包括以扩展线索为重点的接触时间 (TTC) 估计或标准拦截任务.
- 评估包括拦截,物体膨胀灵敏度和道路交叉任务.
主要成果:
- 接触时间 (TTC) 估计组显示出明显更好的碰撞预测比拦截任务组.
- 专注于对象扩展感知的训练比简单的任务重复更有效.
- 没有观察到对象膨胀灵敏度或十字路口决策准确度的显著改善.
结论:
- 针对物体膨胀线索的有针对性的感知训练可以提高老年人碰撞预测.
- 这种培训的好处可能不会直接转移到对扩展线索或现实场景中复杂决策的提高敏感性.
- 其他因素可能会影响复杂任务的表现,例如过路.
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