Lost in virtual space: studies in human and ideal spatial navigation.
Lost in virtual space: studies in human and ideal spatial navigation.
复制标题
DOI：
10.1037/0096-1523.32.3.688
复制
发表时间：
2006-06
期刊：
影响因子：
--
通讯作者：
B. Stankiewicz
中科院分区：
文献类型：
--
作者：
B. Stankiewicz
作者描述了3个人类空间导航实验，研究了感知、记忆、不确定性和决策策略的限制对人类空间导航性能的影响。为了更好地了解这些变量对人类导航性能的影响，作者建立了室内导航的理想导航器模型，其优化算法采用部分可观测的马尔可夫决策过程。该模型最小化了在具有知觉模糊的室内环境中从未知开始状态移动到特定目标状态所需的动作(平移和旋转)的数量。作者将该模型的性能与人类观察者的性能进行了比较，以衡量人类的导航效率。实验一考察了布局尺寸的增大对空间寻路效率的影响，发现随着布局尺寸的增大，被试的空间寻路效率降低。作者调查了这种导航效率的降低是由于视觉感知(实验2)、记忆、空间更新策略还是决策策略(实验3)。
The authors describe 3 human spatial navigation experiments that investigate how limitations of perception, memory, uncertainty, and decision strategy affect human spatial navigation performance. To better understand the effect of these variables on human navigation performance, the authors developed an ideal-navigator model for indoor navigation whose optimizing algorithm uses a partially observable Markov decision process. The model minimizes the number of actions (translations and rotations) required to move from an unknown starting state to a specific goal state in indoor environments that have perceptual ambiguity. The authors compared the model's performance with that of the human observer to measure human navigation efficiency. Experiment 1 investigated the effect of increasing the layout size on spatial way-finding efficiency and found that participants' efficiencies decreased as layout size increased. The authors investigated whether this reduction in navigation efficiency was due to visual perception (Experiment 2), memory, spatial updating strategy, or decision strategy (Experiment 3).