Publikation: Visualization For Train Management : Improving Overviews in Safety-critical Control Room Environments
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2018
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BDVA 2018 : 4th International Symposium on Big Data Visual and Immersive Analytics. 2018
Zusammenfassung
Control centers for safety-critical infrastructures such as train systems rely on proven, time-tested visualizations to support the decision-making process of the operators. These systems are facing new challenges nowadays as traffic has increased. We describe an incremental visualization design process to adapt Train Management Systems to new tasks, while carefully building on existing techniques to ensure a continuous work environment for operators without or little additional training. The main focus of this work-in-progress is to provide additional contextual information to operators unobtrusively and to incorporate multi-perspective prediction models helping operators to make informed decisions efficiently.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
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Visual Analytics; Visualization Systems and Tools
Konferenz
BDVA 2018 : 4th International Symposium on Big Data Visual and Immersive Analytics, 17. Okt. 2018 - 19. Okt. 2018, Konstanz, Germany
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CAKMAK, Eren, Giuliano CASTIGLIA, Wolfgang JENTNER, Juri F. BUCHMÜLLER, Daniel A. KEIM, 2018. Visualization For Train Management : Improving Overviews in Safety-critical Control Room Environments. BDVA 2018 : 4th International Symposium on Big Data Visual and Immersive Analytics. Konstanz, Germany, 17. Okt. 2018 - 19. Okt. 2018. In: BDVA 2018 : 4th International Symposium on Big Data Visual and Immersive Analytics. 2018BibTex
@inproceedings{Cakmak2018Visua-45106,
year={2018},
title={Visualization For Train Management : Improving Overviews in Safety-critical Control Room Environments},
url={https://scibib.dbvis.de/publications/view/789},
booktitle={BDVA 2018 : 4th International Symposium on Big Data Visual and Immersive Analytics},
author={Cakmak, Eren and Castiglia, Giuliano and Jentner, Wolfgang and Buchmüller, Juri F. and Keim, Daniel A.}
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<dcterms:abstract xml:lang="eng">Control centers for safety-critical infrastructures such as train systems rely on proven, time-tested visualizations to support the decision-making process of the operators. These systems are facing new challenges nowadays as traffic has increased. We describe an incremental visualization design process to adapt Train Management Systems to new tasks, while carefully building on existing techniques to ensure a continuous work environment for operators without or little additional training. The main focus of this work-in-progress is to provide additional contextual information to operators unobtrusively and to incorporate multi-perspective prediction models helping operators to make informed decisions efficiently.</dcterms:abstract>
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URL der Originalveröffentl.
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2019-02-19
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Ja
