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冯志全, 梁丽伟, 徐涛, 杨晓晖, 刘弘. 虚拟装配交互界面中的隐式交互算法研究[J]. 计算机辅助设计与图形学学报, 2017, 29(10): 1952-1962.
引用本文: 冯志全, 梁丽伟, 徐涛, 杨晓晖, 刘弘. 虚拟装配交互界面中的隐式交互算法研究[J]. 计算机辅助设计与图形学学报, 2017, 29(10): 1952-1962.
Feng Zhiquan, Liang Liwei, Xu Tao, Yang Xiaohui, Liu Hong. Research on Implicit Interaction Algorithm in Virtual Assembly Interactive Interface[J]. Journal of Computer-Aided Design & Computer Graphics, 2017, 29(10): 1952-1962.
Citation: Feng Zhiquan, Liang Liwei, Xu Tao, Yang Xiaohui, Liu Hong. Research on Implicit Interaction Algorithm in Virtual Assembly Interactive Interface[J]. Journal of Computer-Aided Design & Computer Graphics, 2017, 29(10): 1952-1962.

虚拟装配交互界面中的隐式交互算法研究

Research on Implicit Interaction Algorithm in Virtual Assembly Interactive Interface

  • 摘要: 针对现有虚拟装配系统中交互是以设备为中心的显式交互,不能有效地感知用户操作意图,用户认知负担和操作负担较高的问题,为了提高虚拟装配系统的智能性,将隐式人机交互引入虚拟装配系统,提出一种基于场景任务的用户意图感知算法.首先建立场景知识模型和用户知识模型,并分别构建显式交互知识库和隐式交互知识库;然后利用专家系统推理用户显式操作意图和隐式操作意图,实现人手向目标位置平移时场景主动拉近和抓放场景物体时物体主动旋转2种情景下的人机相向互动.实验结果表明,该算法实现了人机协同交互,降低了用户的操作负担和认知负担.

     

    Abstract: Because the interaction in the existing virtual assembly systems is featured with machine-centered explicit interaction, the machine can not effectively perceive the user’s intentions, which leads to a higher level of the user’s cognitive load and operational burden. In order to improve the intelligence, implicit human-computer interaction was introduced into the virtual assembly system, and an algorithm of user’s intention perception based on the scene task was proposed in this paper. Firstly, explicit interactive knowledge database and implicit interactive knowledge database were constructed respectively based on the scene knowledge model and the user knowledge model. Then the user’s explicit operational intentions and implicit operational intentions were deduced by expert system. Finally man-machine opposite movement algorithms were proposed in two scenarios. On the one hand, scene could move actively close to the user when human hand was moving towards the target position. On the other hand, the object could rotate actively when hu-man hand was grasping or releasing the object. Experimental results showed that the proposed algorithm achieved human-computer cooperative interaction and reduced the user’s operational burden and cognitive burden.

     

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