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Kropf, Peter

Nom
Kropf, Peter
Affiliation principale
Fonction
Professeur.e ordinaire
Email
peter.kropf@unine.ch
Identifiants
https://libra.unine.ch/handle/123456789/221
_
0000-0001-6187-1510

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  • Publication
    Métadonnées seulement
    Collaboration in scientific visualization
    (: IEEE, 2008)
    Casera, Steve
    ;
    Kropf, Peter 
    ;
    Shen, Weiming
    ;
    Zheng, Qinghua
    ;
    Barthes, Jean-Paul
    ;
    Luo, Junzhou
    ;
    Yong, Jianming
    ;
    Duan, Zhenghua
    ;
    Tian, Feng
    This paper discusses the key collaborative features of scientific visualization systems. An experiment with several groups of users has been conducted to evaluate the usability and effectiveness of collaborative tools in such a system. In particular, we compared audio and textual communication support for information exchange as well as the use of graphical indicators. Our analysis revealed the importance of the choice of the conversation means and, surprisingly, the little influence of indicators. Furthermore, the experiments have demonstrated that the system's usability can be significantly improved through appropriate grounding and awareness support. User satisfaction therefore increases, which in turn can potentially also increase the quality of the collaborative work.
  • 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.