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Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices

  • Lei Chen
  • , Hai Ning Liang*
  • , Feiyu Lu
  • , Konstantinos Papangelis
  • , Ka Lok Man
  • , Yong Yue
  • *Corresponding author for this work
    • Xi'an Jiaotong-Liverpool University
    • Virginia Polytechnic Institute and State University
    • Rochester Institute of Technology

    Research output: Contribution to journal › Article › peer-review

    16 Citations (Scopus)

    Abstract

    Interactive visualizations are external tools that can support users’ exploratory activities. Collaboration can bring benefits to the exploration of visual representations or visualizations. This research investigates the use of co-located collaborative visualizations in mobile devices, how users working with two different modes of interaction and view (Shared or Non-Shared) and how being placed at various position arrangements (Corner-to-Corner, Face-to-Face, and Side-by-Side) affect their knowledge acquisition, engagement level, and learning efficiency. A user study is conducted with 60 participants divided into 6 groups (2 modes × 3 positions) using a tool that we developed to support the exploration of 3D visual structures in a collaborative manner. Our results show that the shared control and view version in the Side-by-Side position is the most favorable and can improve task efficiency. In this paper, we present the results and a set of recommendations that are derived from them.

    Original languageEnglish
    Article number47
    JournalHuman-centric Computing and Information Sciences
    Volume10
    Issue number1
    DOIs
    Publication statusPublished - Dec 2020

    Keywords

    • Collaborative visualizations
    • Computer-supported cooperative work/learning
    • IoT
    • Mobile tablets
    • User engagement
    • User study
    • Visual analytics

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