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基于力位协同控制的注意力状态客观监测方法

Objective monitoring of attentional states based on collaborative force-position control tasks
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摘要 高难度精细触觉交互任务依赖于注意资源的高强度激活,研究触觉通道和注意力状态的关系不仅有利于理解人类感知与认知的交互机制,对于触觉模态脑机交互系统的设计也具有重要应用价值.本文构建了融合多点接触力反馈和沉浸式视觉反馈的虚拟现实交互环境,以高精度力位协同控制任务为对象提出了注意力状态的客观监测方法.将力、位置两个模态的容许误差作为任务难度的调控变量,测量了用户在每个模态内的操作绩效.结合用户主观评估数据,证实了该任务可以有效激活注意力资源,并能够作为注意力"示波器",实现高时间分辨率的注意力水平和注意力焦点的客观监测.本文实验结果表明,基于触觉通道的力位协同控制任务能够实现注意力状态的客观测量,为后续构建基于神经生理信号的注意力机制研究提供了行为学基准. Accurate haptic interaction tasks require intensive activation of attentional resources.Exploring the relation between haptic channel and attention is not only conducive to understanding the interaction mechanism between human perception and cognition but is also important for the design of brain-computer interaction system based on haptic modality.In this paper,we built a virtual reality environment incorporating the multiregion force feedback and immersive visual displays and developed a collaborative force-position control task to monitor the attentional states objectively based on this platform.The force and position control performances of users at four different difficulty levels were used to measure the attentional level and attentional spotlight.The user’s subjective assessment showed that the task can effectively activate attentional resources.The experimental results showed that the task can be used as an attentional'oscilloscope'to monitor the changes in the attentional level and target of attentional spotlight with a high temporal resolution,providing a behavioral ground truth for exploring attentional biomarkers.
作者 王丽君 王党校 郑一磊 张玉茹 Lijun WANG;Dangxiao WANG;Yilei ZHENG;Yuru ZHANG(State Key Laboratory of Virtual Reality Technology and Systems,Beihang University,Beijing 100083,China;Beijing Advanced Innovation Center for Biomedical Engineering,Beihang University,Beijing 100083,China)
出处 《中国科学:信息科学》 CSCD 北大核心 2019年第4期422-435,共14页 Scientia Sinica(Informationis)
基金 国家自然科学基金(批准号:61572055)资助项目
关键词 虚拟现实 触觉交互 力位协同控制 注意力状态 virtual reality haptic interaction collaborative force-position control attentional states
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