不确定视觉轨迹的预测倾向于运动连续性的运动连续性
Olga Polezhaeva1, Stefan Glasauer2, Michel-Ange Amorim3
1Université Paris-Saclay, Inria, CIAMS, 91190, Gif-sur-Yvette, France. olga.polezhaeva@universite-paris-saclay.fr.
Attention, perception & psychophysics
|February 23, 2026
概括
人类通过偏好平滑的轨迹来预测不确定的视觉运动. 参与者使用最后可见的位置随机步行和独立随机运动,提高决策速度和准确性.
科学领域:
- 感知与认知科学 感知与认知科学
- 计算神经科学是一种神经科学.
- 视觉感知 视觉感知 视觉感知
背景情况:
- 在不确定性下的视觉运动预测需要整合统计和动力学信息.
- 随机轨迹由于噪声而带来挑战,需要适应性决策策略.
研究的目的:
- 调查决策过程和心理物理参数是如何在抽取随机轨迹与不同的噪声特征 (随机步行,RDW和独立和相同分布,IID) 的过程中调节的.
- 为了确定轨迹特性对人类视觉运动预测的影响.
主要方法:
- 参与者判断了下行移动的点的终点,其水平噪声 (RDW或IID) 不同.
- 实验操纵了最后一个可见位置和平均位置特征.
- 使用行为数据和扩散决策模型 (DDM) 分析.
主要成果:
- 对于RDW轨迹,参与者准确地使用了最后一个可见位置,提高了决策速度和准确性.
- 对于IID轨迹,参与者展示了各种各样的策略,但主要集中在最后一个部分,这是一个低于最佳但有效的方法.
- 感知系统似乎优先考虑平滑运动解释来预测不确定的轨迹.
结论:
- 人类的视觉系统倾向于平滑的运动解释来预测不确定的轨迹.
- 专注于最后一个可见位置是视觉运动预测的强有力的策略,即使与非最佳轨迹类型.
- 了解这些预测机制对于视觉感知研究至关重要.
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