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Nägeli, Hans-Heinrich

Nom
Nägeli, Hans-Heinrich
Affiliation principale
Fonction
Professeur.e émérite
Email
hans-heinrich.naegeli@unine.ch
Identifiants
https://libra.unine.ch/handle/123456789/281

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  • Publication
    Métadonnées seulement
    Improving usability of collaborative scientific visualization systems
    (: IASTED, 2006-1-22)
    Casera, Steve
    ;
    Nägeli, Hans-Heinrich 
    ;
    Kropf, Peter 
    This paper presents the key features of a collaborative visualization system. It discusses the main challenges of remote collaboration in the case of scientific visualization and presents our solutions. Our system provides a group of geographically distributed scientists the means of sharing their data, of interactively creating visualizations, and of analyzing them. This allows for shorter turnaround times compared to a more traditional approach. Our main objectives are to improve the ease of use as well as the cognitive efficiency and to minimize the waiting time for the participants in collaborative efforts. The main challenges we identified include the support of network heterogeneity, portability, ease-of-use, privacy, configuration of the working mode, strategy for coordinating access to shared resources, and for granting, respectively controlling permissions of operation. Real-time collaboration in current distributed groupware workspaces is often a difficult and awkward process. Being aware of what the other participants of a session are doing is an important issue in such a collaboration. In scientific visualization the data volume that is involved may be huge. We present three different methods of data transfer, compare their efficiency with respect to particular application scenarios, and give results of our tests.
  • Publication
    Accès libre
    A collaborative extension of a visualization system
    (2005)
    Casera, Steve
    ;
    Nägeli, Hans-Heinrich 
    ;
    Kropf, Peter 
    This paper presents an extension of the single-user scientific visualization system ZoomIn to a collaborative system. We discuss the principal challenges of remote collaboration in the case of scientific visualization and present the solutions realized for ZoomIn. The main issues identified include the support of slow/fast network connections, portability, ease-of-use, privacy, configuration of the working mode and permissions. We describe why the main concepts of the original ZoomIn are well suited for a collaborative extension and how collaboration is introduced.
    In particular, the volume of data for scientific visualization may be very large. Therefore, the transfer of data has to be optimized. We present three different methods of data transfer for collaborative visualization and compare their efficiency with respect to particular application scenarios.