Pilots’ Spatial Visualization Ability Assessment Based on Virtual Reality

心理旋转 年龄组 空间定向障碍 空间能力 虚拟现实 比例(比率) 心理学 医学 模拟 地图学 计算机科学 人口学 人工智能 地理 认知 艺术 神经科学 社会学 表演艺术 艺术史
作者
Mengdi Zhang,Meng Wang,Hui Feng,X. Liu,Zhai Li-hong,Xianrong Xu,Zhanguo Jin
出处
期刊:Aerospace medicine and human performance [Aerospace Medical Association]
卷期号:94 (6): 422-428
标识
DOI:10.3357/amhp.6198.2023
摘要

BACKGROUND: The aim of this study was to investigate the effectiveness of the mental rotation test (MRT) based on virtual reality (VR) in predicting pilots’ spatial visualization ability (SVA). METHODS: Based on VR, 118 healthy pilots’ SVA were evaluated by MRT. The pilot flight ability evaluation scale was used as the criterion of test validity. According to the scale score, pilots were divided into high, middle, or low spatial ability groups pursuant to the 27% allocation principle. Differences in reaction time (RT), correct rate (CR), and correct number per second (CNPS) of MRT between groups were compared. Correlations between scale scores and MRT scores were analyzed. RT, CR, and CNPS of MRT among different age groups and between genders were also compared. RESULTS: The RT of the high spatial ability group was remarkably slower than that of the low spatial ability group (363.4 ± 140.2 s, 458.1 ± 151.7 s). The CNPS of the high spatial ability group was dramatically higher than that of the low spatial ability group (0.111 ± 0.045 s, 0.086 ± 0.001 s). There were no significant differences in RT, CR, and CNPS between different genders. Pilots in the 29–35 yr old age group had considerably slower RT than those in the 22–28 yr old age group (330.8 ± 140.3 s, 417.2 ± 132.7 s). Pilots in the 29–35 yr old age group had conspicuously higher CNPS than pilots in the 22–28 yr old age group (0.119 ± 0.040 s, 0.096 ± 0.036 s). All pilots’ scale scores were positively correlated with CNPS ( r = 0.254) and negatively correlated with RT ( r = -0.234). DISCUSSION: MRT based on VR has a good discrimination efficacy for SVA of pilots and is a good indicator for the SVA component measurement. Zhang M, Wang M, Feng H, Liu X, Zhai L, Xu X, Jin Z. Pilots’ spatial visualization ability assessment based on virtual reality . Aerosp Med Hum Perform. 2023; 94(6):422–428.
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