Collaborative Computing: Networking, Applications and Worksharing. 4th International Conference, CollaborateCom 2008, Orlando, FL, USA, November 13-16, 2008, Revised Selected Papers

Research Article

Location-Based Mapping Services to Support Collaboration in Spatially Distributed Workgroups

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  • @INPROCEEDINGS{10.1007/978-3-642-03354-4_53,
        author={Eike Meyer and Daniel Wichmann and Henning B\'{y}sch and Susanne Boll},
        title={Location-Based Mapping Services to Support Collaboration in Spatially Distributed Workgroups},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 4th International Conference, CollaborateCom 2008, Orlando, FL, USA, November 13-16, 2008, Revised Selected Papers},
        proceedings_a={COLLABORATECOM},
        year={2012},
        month={5},
        keywords={mobile collaborative working environments location-based services map visualization spatial distribution},
        doi={10.1007/978-3-642-03354-4_53}
    }
    
  • Eike Meyer
    Daniel Wichmann
    Henning Büsch
    Susanne Boll
    Year: 2012
    Location-Based Mapping Services to Support Collaboration in Spatially Distributed Workgroups
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-642-03354-4_53
Eike Meyer1,*, Daniel Wichmann1,*, Henning Büsch1,*, Susanne Boll2,*
  • 1: OFFIS Institute for Information Technology
  • 2: University of Oldenburg
*Contact email: emm@offis.de, wichmann@offis.de, buesch@offis.de, susanne.boll@uni-oldenburg.de

Abstract

Mobile devices and systems reached almost every part of our daily life. Following the mobile computing trend, also business logics of distributed, cooperative applications started to move into the mobile client applications. With this shift, the cooperation aspect may also exploit the user’s location and situation context and capabilities of the mobile device and integrate it into the actual cooperation and collaboration. In this paper, we present an approach for a Collaborative Map that exploits the spatial context of the member of a distributed group as a means to visualize and provide collaboration functionality. Then, a number of location-related cooperation methods become feasible such as getting an overview of the spatial distribution of the team members, identify an ad-hoc meeting place nearby, or chat with a group member who has a certain expertise in his or her profile. With CoMa, we move from standard collaboration tools that marginally consider spatial information towards context-aware mobile collaborative systems that can support a wide range of applications such as emergency response, maintenance work or event organization where human resources have to be coordinated in a spatial context and tasks need to be assigned dynamically depending on capabilities and situation context.