Wang Yi, Bowman Doug, Krum David, Coalho Enylton, Smith-Jackson Tonya, Bailey David, Peck Sarah, Anand Swethan, Kennedy Trevor, Abdrazakov Yernar
Virginia Tech, VA, USA.
IEEE Trans Vis Comput Graph. 2008 Nov-Dec;14(6):1755-62. doi: 10.1109/TVCG.2008.126.
Many interesting and promising prototypes for visualizing video data have been proposed, including those that combine videos with their spatial context (contextualized videos). However, relatively little work has investigated the fundamental design factors behind these prototypes in order to provide general design guidance. Focusing on real-time video data visualization, we evaluated two important design factors--video placement method and spatial context presentation method--through a user study. In addition, we evaluated the effect of spatial knowledge of the environment. Participants' performance was measured through path reconstruction tasks, where the participants followed a target through simulated surveillance videos and marked the target paths on the environment model. We found that embedding videos inside the model enabled realtime strategies and led to faster performance. With the help of contextualized videos, participants not familiar with the real environment achieved similar task performance to participants that worked in that environment. We discuss design implications and provide general design recommendations for traffic and security surveillance system interfaces.
已经提出了许多用于可视化视频数据的有趣且有前景的原型,包括那些将视频与其空间上下文相结合的原型(情境化视频)。然而,为了提供通用的设计指导,相对较少的工作研究了这些原型背后的基本设计因素。针对实时视频数据可视化,我们通过一项用户研究评估了两个重要的设计因素——视频放置方法和空间上下文呈现方法。此外,我们评估了环境空间知识的影响。通过路径重建任务来衡量参与者的表现,在该任务中,参与者通过模拟监控视频跟踪目标并在环境模型上标记目标路径。我们发现将视频嵌入模型中能够实现实时策略并带来更快的表现。在情境化视频的帮助下,不熟悉真实环境的参与者能够取得与在该环境中工作的参与者相似的任务表现。我们讨论了设计启示,并为交通和安全监控系统界面提供了通用的设计建议。