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有根据的期望:在虚拟环境中垂直指针时,传感器前置的稳定性

Shinji Yamamoto¹, Gavin Buckingham², Tom Arthur²

¹Graduate School of Sport Sciences, Nihon Fukushi University, Mihama, Japan.

Journal of neurophysiology

|December 16, 2025

概括

人类对重力的感知运动控制在虚拟现实 (VR) 中保持稳定. 然而,长时间的VR暴露会增加感官不确定性,从而降低了对随时间推移预测性运动控制的信心.

科学领域:

神经科学是一个神经科学.
人与计算机的互动.
机器人技术机器人技术机器人技术

背景情况:

人类利用物理定律的内部模型,比如重力,来精确的运动控制.
虚拟现实 (VR) 提供了一个独特的环境,其中感官反可能与物理现实不同.

研究的目的:

为了调查重力预期是否在VR中发生变化.
评估VR对目标指向运动和适应的影响.
了解预测性运动控制向沉浸式虚拟环境的转移.

主要方法:

在物理和虚拟环境中比较指向运动,测量手的初始加速度.
利用贝叶斯计算模型 (一般化层次高斯过器) 来分析学习和先前的信念.
模拟试验对试验的适应和先前信念对运动执行的影响.

主要成果:

与物理环境相比,VR中的初始手加速略低.
在不同的环境中,人们的重力信仰仍然相似,但在VR中,随着时间的推移,确定性下降了.
在两种条件之间没有观察到加速度变异的显著差异.

结论:

核心预测电机控制,包括重力先验,有效地转移到VR.
随着时间的推移,VR中的感觉不确定性会侵蚀内部模型的精度.
这些发现对基于VR的培训,康复和人机交互设计有影响.

关键词:

贝叶斯语贝叶斯语贝叶斯语贝叶斯语适应适应适应适应运动学习是指运动学习.预测编码的预测编码.

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