沉浸式所触即所得网络可视分析方法

Immersive WYTIWYG network visual analytics method

沉浸式网络可视化在空间沉浸、用户参与、多维感知等方面具有天然的优势。受用户与日常物体交互方式所启发,基于所触即所得(WYTIWYG)的理念提出一种沉浸式网络可视分析方法来挖掘网络特征和关联模式。首先提出手势舒适度评估模型来指导手势动作设计,并引入窗口状态模型来优化手势识别稳定性。此外,将网络分析交互需求与手势动作语义绑定,定义沉浸式网络手势交互范式。与真实世界中抓取交互类似,用户可利用自然交互手势在沉浸式环境下执行移动、高亮、布局维度变换、边绑定等操作。最后,案例研究验证了方法的有效性。

Immersive network visualization possesses natural advantages in terms of spatial immersion,user engagement,and multi-dimensional perception.Inspired by users’interaction with real-world objects,this paper proposed an immersive network visual analytics method to excavate network characteristics and association patterns based on the concept of What You Touch is What You Get(WYTIWYG).Firstly,a gesture comfort evaluation model was proposed to guide the design of gesture action,and a window state model was introduced to optimize the stability of gesture recognition.In addition,based on the binding of network analysis interaction requirements with gesture semantics,an immersive network gesture interaction paradigm was proposed.Similar to how interactions are grasped in the real world,users can employ natural interactive gestures to perform operations such as moving,highlighting,layout dimension transformation,and edge bundling in an immersive environment.Finally,case studies can verify the effectiveness of the proposed method.