東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Asynchronous Visualization of Spatio...

Wang, Huadong.

Linked to FindBook

Google Book

Amazon

博客來

Asynchronous Visualization of Spatiotemporal Information for Multiple Moving Targets.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Asynchronous Visualization of Spatiotemporal Information for Multiple Moving Targets./
Author:	Wang, Huadong.
Description:	148 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-03(E), Section: B.
Contained By:	Dissertation Abstracts International75-03B(E).
Subject:	Information Technology. -
Online resource:	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.
LDR:02435nam a2200325 4500 001 1965573
005 20141030134121.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303591617
035 $a (MiAaPQ)AAI3577059
035 $a AAI3577059
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wang, Huadong. $3 2102252
245 1 0 $a Asynchronous Visualization of Spatiotemporal Information for Multiple Moving Targets.
300 $a 148 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-03(E), Section: B.
500 $a Adviser: Michael Lewis.
502 $a Thesis (Ph.D.)--University of Pittsburgh, 2013.
520 $a 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 $a 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.
520 $a 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.
590 $a School code: 0178.
650 4 $a Information Technology. $3 1030799
650 4 $a Information Science. $3 1017528
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0489
690 $a 0723
690 $a 0984
690 $a 0771
710 2 $a University of Pittsburgh. $b Information Sciences. $3 2102250
773 0 $t Dissertation Abstracts International $g 75-03B(E).
790 $a 0178
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3577059