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基于脑电信号的虚拟现实界面布局深度感知认知负荷研究
王连彬,殷晓晨,周涵,刘成龙,孟欣怡
合肥工业大学 建筑与艺术学院,合肥 230009
摘要:
目的 通过脑电信号的时频特征分析,探究视觉深度线索对虚拟现实菜单界面布局审美感知的影响。方法 从认知负荷角度出发,运用认知神经美学理论及生理数据采集手段,通过AB对比实验佐证视觉深度线索对虚拟现实菜单界面布局审美感知的影响。将被试在2组实验下执行相同交互任务的任务态脑电信号(EEG)数据进行时频分析,并将θ、α、β频段的神经震荡节律作为脑电分析指标,通过配对样本t检验分析比较被试在2组不同界面布局形式下的脑电信号时频特征是否具有统计学差异。结果 被试在融入视觉深度线索的虚拟现实菜单界面布局实验中,θ频段在前额叶区(FP1、FP2电极)、α频段在枕叶区(PO7、PO8电极)、β频段在顶叶区(P3、PZ、P4电极)的组平均功率显著低于Web式虚拟现实菜单界面布局实验中相同脑区的组平均功率(P<0.05)。结论 θ、α、β频段相关脑区的组平均功率降低可能由于融入视觉深度线索的虚拟现实菜单界面布局认知负荷降低的影响所致。
关键词:  认知神经美学  虚拟现实界面  EEG  深度视觉线索  时频分析
DOI:10.19554/j.cnki.1001-3563.2025.02.007
分类号:
基金项目:
Cognitive Load of Depth Perception of Virtual Reality Interface Layout Based on Time-frequency Analysis of EEG Signals
WANG Lianbin, YIN Xiaochen, ZHOU Han, LIU Chenglong, MENG Xinyi
(College of Architecture & Art, Hefei University of Technology, Hefei 230009, China)
Abstract:
The work aims to explore the impact of visual depth cues on the aesthetic perception of virtual reality menu interface layout through the time-frequency characteristics of EEG signals. From the perspective of cognitive load, cognitive neuroaesthetics and physiological data collection methods were used to verify the impact of visual depth cues on the aesthetic perception of virtual reality menu interface layout through AB comparison experiments. A time-frequency analysis was conducted on the task-state EEG data of subjects performing the same interactive task in two groups of experiments. The neural oscillation rhythms in θ, α, and β frequency bands were used as EEG analysis indicators, and the subjects were compared through a paired sample t test analysis to determine whether there were statistical differences in the time-frequency characteristics of EEG signals between the two groups of different interface layouts. As a results, in the experiment on the layout of the virtual reality menu interface that incorporated visual depth cues, the subjects found that the average power of θ frequency band in the prefrontal lobe area (FP1, FP2 electrodes), the α frequency band in the occipital lobe area (PO7, PO8 electrodes), and the β frequency band in the parietal lobe area (P3, PZ, and P4 electrodes) was significantly lower than the average power of the same brain area in the web-based virtual reality menu interface layout experiment (P<0.05). In conclusion, the reduction in the average power of related brain areas in the θ, α, and β frequency bands may be due to the reduced cognitive load of VR menu interface layout incorporating visual depth cues.
Key words:  s of the 2023 CHI Conference on Human Factors in Computing Systems. New York, United States:SIGCHI, 2023, 36:1-7.

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