计算机建模揭示了对象相似性和近距离对视觉引导运动的影响
Mandar Manjunath Patil1,2, Dietmar Heinke2, Fan Zhang2,3
1Department of Neurology, University of California, Davis, Davis, CA, United States of America.
PeerJ
|March 3, 2025
概括
人类向目标物体伸手的动作受其与其他物体的近距离和相似性的影响. 一个认知机器人模型揭示了这些因素是序列处理,影响运动开始和轨迹不同.
科学领域:
- 认知机器人技术是如何实现的
- 人类运动控制器
- 感知心理学 感知心理学
背景情况:
- 了解人类以目标为导向的运动,比如伸手抓住物体,在人机交互和机器人技术中至关重要.
- 之前的研究表明,物体的属性,如近距离和相似性影响到质量.
- 人类运动控制中这些视觉线索的连续处理仍然不完全理解.
研究的目的:
- 调查人类如何在一个混乱的场景中选择和达到单一的目标物体.
- 用一种神经生物学上可信的认知机器人方法来模拟人类的伸展行为.
- 解开对象接近和相似性的时间影响,以达到运动.
主要方法:
- 从人类选择到达任务的经验数据重新分析.
- 实施一种认知机器人模型 (CoRLEGO),模拟人类的触及范围.
- 计算建模来分析对象的近距离和相似性对运动开始和轨迹的影响.
主要成果:
- 证实物体的近距离和相似性都会影响到触摸质量,这与感知分组相一致.
- 建模显示,运动开始受到接近和相似性的影响.
- 射程轨迹主要受到物体接近的影响,这表明视觉信息的连续处理.
- 运动速度和准确性之间的平衡影响了近距离和相似性之间的相互作用.
结论:
- 在完成任务时,人类对视觉刺激的信息处理似乎以串行方式发生.
- 对象的接近直接影响运动开始,而轨迹对接近更敏感.
- 计算建模提供了关于人类达到行为速度和准确性之间的权衡的见解.
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