Impact of visual distractors in virtual reality environments on sustained attention behavioral performance and EEG characteristics

虚拟现实环境中视觉干扰因素对持续注意力行为表现和脑电图特征的影响

阅读:1

Abstract

INTRODUCTION: This study investigates the effects of visual distractors in virtual reality (VR) environments on sustained attention, focusing on how visual distraction modulates neural mechanisms of attentional allocation and regulation. METHODS: Behavioral and electroencephalographic (EEG) data were collected from 66 participants performing a Go/No-go continuous performance test (CPT) in a virtual classroom under conditions with (Y-D) and without (N-D) visual distractors. We analyzed behavioral performance (commission/omission errors, multipress, reaction time), event-related potential (P300) characteristics (latency, amplitude), and nonlinear dynamics (sample entropy, fuzzy entropy) of the EEG signals. RESULTS: Behavioral results revealed that visual distractors significantly increased commission errors, omission errors, and multipress (all p < 0.001), with no significant difference in reaction time. EEG analysis demonstrated that distractors significantly prolonged P300 latency, particularly at CPz, Pz, and Oz electrodes, and increased P300 amplitude at Fz, FCz, and Oz. Furthermore, both sample entropy and fuzzy entropy values were significantly higher under distraction conditions in the frontal, central, and parietal regions. DISCUSSION: These findings indicate that visual distractors disrupt cognitive processes related to visual information integration, attentional control, and decision-making, leading to decreased behavioral performance and increased neural complexity. This study deepens the understanding of the neural mechanisms of attention processing under ecological conditions and provides a scientific basis for optimizing educational environments and developing attention assessment tools based on neuroengineering.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。