行为风险模型解释了在虚拟高度行走时的运动和平衡变化
bioRxiv : the preprint server for biology
|November 28, 2024
概括
人类适应行走行为,以减少在危险环境中跌倒的风险. 他们调整靠近危险和减少侧向侧移动,与成本效益风险模型保持一致.
科学领域:
- 生物力学 生物力学
- 人类的机动运动.
- 风险感知 风险感知
背景情况:
- 害怕跌倒和焦虑会影响日常行走.
- 个人可能会修改步态来管理感知到的跌倒风险.
- 一个风险模型将跌倒概率等同于受伤成本.
研究的目的:
- 测试人类的行走行为是否与预测风险模型保持一致.
- 调查在虚拟现实中适应高度相关威胁的情况.
- 分析行走过程中轨迹和平衡控制的变化.
主要方法:
- 两个实验使用沉浸式虚拟现实与高度相关的威胁.
- 实验1:直立的步行道与高海拔的威胁.
- 实验2:曲线走道,威胁位置可变.
主要成果:
- 参与者改变了步行轨迹,以避免高成本的跌倒威胁.
- 当近距离调整有限时,质量速度的中侧中心被减少.
- 观察到的行为与基于风险的运动模型保持一致.
结论:
- 机动行为被调整以根据感知到的下降成本来修改下降概率.
- 人类步行适应表明了积极主动地管理环境风险的方法.
- 该研究支持基于风险的框架,以了解人类平衡和运动控制.
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