TeamWise: synchronised immersive environments for exploration and analysis of movement data

Karsten Klein, Michael Aichem, Björn Sommer, Stefan Erk, Ying Zhang, Falk Schreiber

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019
EditorsChangbo Wang, Michael Burch, Michael Krone
PublisherAssociation for Computing Machinery (ACM)
Number of pages5
EditionNew York NY USA
ISBN (Electronic)9781450376266
Publication statusPublished - 2019
Externally publishedYes
EventInternational Symposium on Visual Information Communication and Interaction 2019 - Shanghai, China
Duration: 20 Sept 201922 Sept 2019
Conference number: 12th (Website) (Proceedings)


ConferenceInternational Symposium on Visual Information Communication and Interaction 2019
Abbreviated titleVINCI 2019
Internet address


  • Animal movement
  • Immersive analytics
  • Immersive environments

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