Publikation: TEAMwISE : Synchronised Immersive Environments for Exploration and Analysis of Movement Data
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2019
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Proceedings of the 12th International Symposium on Visual Information Communication and Interaction - VINCI'2019. New York, NY: ACM Press, 2019, 9. ISBN 978-1-4503-7626-6. Available under: doi: 10.1145/3356422.3356450
Zusammenfassung
The recent availability of affordable and lightweight tracking sensors allows researchers to collect large and complex movement datasets. These datasets require applications that are capable of handling them whilst providing an environment that enables the analyst(s) to focus on the task of analysing the movement in the context of the geographic environment it occurred in. We present a framework for collaborative analysis of geospatial-temporal movement data with a use-case in collective behavior analysis. It supports the concurrent usage of several program instances, allowing to have different perspectives on the same data in collocated or remote setups. The implementation can be deployed in a variety of immersive environments, e.g. on a tiled display wall or mobile VR devices.
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004 Informatik
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VINCI '19 : the 12th International Symposium on Visual Information Communication and Interaction, 20. Sept. 2019 - 22. Sept. 2019, Shanghai, China
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KLEIN, Karsten, Michael AICHEM, Björn SOMMER, Stefan ERK, Ying ZHANG, Falk SCHREIBER, 2019. TEAMwISE : Synchronised Immersive Environments for Exploration and Analysis of Movement Data. VINCI '19 : the 12th International Symposium on Visual Information Communication and Interaction. Shanghai, China, 20. Sept. 2019 - 22. Sept. 2019. In: Proceedings of the 12th International Symposium on Visual Information Communication and Interaction - VINCI'2019. New York, NY: ACM Press, 2019, 9. ISBN 978-1-4503-7626-6. Available under: doi: 10.1145/3356422.3356450BibTex
@inproceedings{Klein2019TEAMw-47592,
year={2019},
doi={10.1145/3356422.3356450},
title={TEAMwISE : Synchronised Immersive Environments for Exploration and Analysis of Movement Data},
isbn={978-1-4503-7626-6},
publisher={ACM Press},
address={New York, NY},
booktitle={Proceedings of the 12th International Symposium on Visual Information Communication and Interaction - VINCI'2019},
author={Klein, Karsten and Aichem, Michael and Sommer, Björn and Erk, Stefan and Zhang, Ying and Schreiber, Falk},
note={Article Number: 9}
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<dcterms:abstract xml:lang="eng">The recent availability of affordable and lightweight tracking sensors allows researchers to collect large and complex movement datasets. These datasets require applications that are capable of handling them whilst providing an environment that enables the analyst(s) to focus on the task of analysing the movement in the context of the geographic environment it occurred in. We present a framework for collaborative analysis of geospatial-temporal movement data with a use-case in collective behavior analysis. It supports the concurrent usage of several program instances, allowing to have different perspectives on the same data in collocated or remote setups. The implementation can be deployed in a variety of immersive environments, e.g. on a tiled display wall or mobile VR devices.</dcterms:abstract>
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