Gender differences in wayfinding in virtual environments with global or local landmarks
Gender differences in wayfinding in virtual environments with global or local landmarks
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DOI：
10.1016/j.jenvp.2011.12.004
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发表时间：
2012-06
影响因子：
6.9
通讯作者：
Chin-Teng Lin;Teng-Yi Huang;Wen-Jing Lin;Shu-Yen Chang;Yin-Hung Lin;L. Ko;D. Hung;E. Chang
中科院分区：
文献类型：
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作者：
Chin-Teng Lin;Teng-Yi Huang;Wen-Jing Lin;Shu-Yen Chang;Yin-Hung Lin;L. Ko;D. Hung;E. Chang
本研究通过分析整体和细粒度的性能指标，评估了性别差异的寻路环境中的全球或当地的地标。女性和男性参与者都被要求在具有本地或全球地标的网格状虚拟环境中定位目标。有趣的是，两种总体测量的结果并不一致：尽管女性比男性花费更多的时间来定位目标，但在校正旅行路径方面，两种性别通常是相同的。细粒度测量解释了寻路行为的不同方面，并提供了额外的信息，解释了总体测量的差异;女性花更少的时间旅行远离目标位置，更高的比例的时间不穿越，并作出更多的旋转时，停止比男性。而不是明确支持男性优势，在寻路任务，整体和细粒度的措施部分表明，男性和女性的差异上级时，分别使用全球和当地的地标信息。总之，男性比女性移动得更快，但不一定更有效地导航空间环境。每个性别表现出不同的优势相关的寻路，这些差异需要应用整体和细粒度的措施进行准确的评估。
This study assesses gender differences in wayfinding in environments with global or local landmarks by analyzing both overall and fine-grained measures of performance. Both female and male participants were required to locate targets in grid-like virtual environments with local or global landmarks. Interestingly, the results of the two overall measures did not converge: although females spent more time than males in locating targets, both genders were generally equivalent in terms of corrected travel path. Fine-grained measures account for different aspects of wayfinding behavior and provide additional information that explains the divergence in overall measures; females spent less time traveling away from the target location, a higher proportion of time not traversing, and made more rotations when stopping than males did. Rather than unequivocally supporting male superiority in wayfinding tasks, both the overall and fine-grained measures partially indicate that males and females are differentially superior when using global and local landmark information, respectively. To summarize, males moved faster than females but did not necessarily navigate the spatial surroundings more efficiently. Each gender showed different strengths related to wayfinding; these differences require the application of both overall and fine-grained measures for accurate assessment.