《计算机应用研究》|Application Research of Computers

用户认知驱动的VR自然交互认知负荷研究

Research on natural interactive cognitive load of virtual reality driven by user cognition

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作者 徐小萍,吕健,金昱潼,姬文渊
机构 贵州大学 现代制造技术教育部重点实验室,贵阳 550003
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文章编号 1001-3695(2020)07-008-1958-06
DOI 10.19734/j.issn.1001-3695.2018.12.0936
摘要 针对目前虚拟现实自然交互系统中用户认知负荷难以量化问题,以量化认知负荷为目的,提出一种基于概率神经网络的多通道信息融合模型。首先根据认知理论建立“认知—行为—环境”框架,并在此基础上研究用户认知的数学表征(方法、过程、机理),构建多通道认知模型;然后将多通道信息融合方法引入虚拟现实自然交互系统,建立一种面向虚拟现实自然交互系统的认知负荷模型;通过VR隧道应急救援系统实验对系统中的用户认知进行验证。验证结果表明,具体提出的认知负荷模型具有一定的可行性。
关键词 虚拟现实系统; 多通道融合; 认知表达; 认知负荷
基金项目 国家自然科学基金资助项目(51865004)
贵州省科技厅支撑计划资助项目(黔科合支撑[2016]2327,黔科合支撑[2017]2016)
贵州省科技厅自然基金资助项目(黔科合基础[2017]1046,黔科合基础[2018]1049)
贵州大学基金资助项目(贵大人基合字[2016]12)
军工业设计工程课程案例库建设基金资助项目(黔教合YJSCXJH[2018]088)
本文URL http://www.arocmag.com/article/01-2020-07-008.html
英文标题 Research on natural interactive cognitive load of virtual reality driven by user cognition
作者英文名 Xu Xiaoping, Lyu Jian, Jin Yutong, Ji Wenyuan
机构英文名 Key Laboratory of Advanced Manufacturing Technology of Ministry of Education,Guizhou University,Guiyang 550003,China
英文摘要 Aiming at the problem that it is difficult to quantify the cognitive load of users in virtual reality natural interactive system, this paper proposed a multi-channel information fusion model based on probabilistic neural network to quantify the cognitive load. Firstly, it established the framework of "cognition-behavior-environment" based on cognitive theory, and then studied the mathematical representation(method, process, mechanism) of user cognition, and constructed a multi-channel cognitive model. It introduced the multi-channel information fusion method into the virtual reality natural interaction system, and established a cognitive load model for the virtual reality natural interaction system. Finally, through the VR tunnel emergency rescue system experiment, this paper verified the user cognition in the system. The results show that the proposed cognitive load model is feasible to some extent.
英文关键词 virtual reality system; multi-channel fusion; cognitive expression; cognitive load
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收稿日期 2018/12/29
修回日期 2019/3/5
页码 1958-1963
中图分类号 TP391
文献标志码 A