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Asynchronous Visualization of Spatio...
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Wang, Huadong.
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Asynchronous Visualization of Spatiotemporal Information for Multiple Moving Targets.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Asynchronous Visualization of Spatiotemporal Information for Multiple Moving Targets./
作者:
Wang, Huadong.
面頁冊數:
148 p.
附註:
Source: Dissertation Abstracts International, Volume: 75-03(E), Section: B.
Contained By:
Dissertation Abstracts International75-03B(E).
標題:
Information Technology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3577059
ISBN:
9781303591617
Asynchronous Visualization of Spatiotemporal Information for Multiple Moving Targets.
Wang, Huadong.
Asynchronous Visualization of Spatiotemporal Information for Multiple Moving Targets.
- 148 p.
Source: Dissertation Abstracts International, Volume: 75-03(E), Section: B.
Thesis (Ph.D.)--University of Pittsburgh, 2013.
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.
ISBN: 9781303591617Subjects--Topical Terms:
1030799
Information Technology.
Asynchronous Visualization of Spatiotemporal Information for Multiple Moving Targets.
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Source: Dissertation Abstracts International, Volume: 75-03(E), Section: B.
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Adviser: Michael Lewis.
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Thesis (Ph.D.)--University of Pittsburgh, 2013.
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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.
520
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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.
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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.
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