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

Research output: Contribution to journalArticlepeer-review

15 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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