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Asynchronous Visualization of Spatiotemporal Information for Multiple Moving Targets.

机译：多个移动目标的时空信息的异步​​可视化。

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摘要

In the modern information age, the quantity and complexity of spatiotemporal data is increasing both rapidly and continuously. Sensor systems with multiple feeds that gather multidimensional spatiotemporal data will result in information clusters and overload, as well as a high cognitive load for users of these systems.;To meet future safety-critical situations and enhance time-critical decision-making missions in dynamic environments, and to support the easy and effective managing, browsing, and searching of spatiotemporal data in a dynamic environment, we propose an asynchronous, scalable, and comprehensive spatiotemporal data organization, display, and interaction method that allows operators to navigate through spatiotemporal information rather than through the environments being examined, and to maintain all necessary global and local situation awareness.;To empirically prove the viability of our approach, we developed the Event-Lens system, which generates asynchronous prioritized images to provide the operator with a manageable, comprehensive view of the information that is collected by multiple sensors. The user study and interaction mode experiments were designed and conducted. The Event-Lens system was discovered to have a consistent advantage in multiple moving-target marking-task performance measures. It was also found that participants' attentional control, spatial ability, and action video gaming experience affected their overall performance.
机译：在现代信息时代，时空数据的数量和复杂性都在迅速而连续地增加。具有多个提要的传感器系统会收集多维时空数据，这将导致信息集群和超负荷，并给这些系统的用户带来高认知负荷。为了满足未来对安全至关重要的情况并增强动态中对时间至关重要的决策任务为了支持在动态环境中轻松有效地管理，浏览和搜索时空数据，我们提出了一种异步，可扩展且全面的时空数据组织，显示和交互方法，使操作员可以浏览时空信息， ；为了通过经验证明我们的方法的可行性，我们开发了Event-Lens系统，该系统生成异步优先级图像，以为操作员提供可管理的，全面的查看多个传感器收集的信息。设计并进行了用户研究和交互模式实验。发现事件透镜系统在多个移动目标标记任务性能指标中具有一致的优势。还发现参与者的注意力控制，空间能力和动作视频游戏体验会影响他们的整体表现。

著录项

  • 作者

    Wang, Huadong.;

  • 作者单位

    University of Pittsburgh.;

  • 授予单位 University of Pittsburgh.;
  • 学科 Information Technology.;Computer Science.;Engineering Robotics.;Information Science.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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