Towards an Understanding of Distributed Asymmetric Collaborative Visualization on Problem-solving

Authors: Wai Tong, Meng Xia, Kam Kwai Wong, Doug A. Bowman, Ting-Chuen Pong, Huamin Qu, Yalong Yang

11 pages, 12 figures, accepted at IEEE VR 2023

Results of the summarizing process for the arXiv paper: 2302.01966v1

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This paper, authored by Wai Tong, Meng Xia, Kam Kwai Wong, Doug A. Bowman, Ting-Chuen Pong, Huamin Qu and Yalong Yang, presents empirical knowledge of the user experience for using collaborative visualization in a distributed asymmetrical setting through controlled user studies. The study explores scenarios where collaborators have to or prefer to use different computing environments in different places and investigates the use of Virtual Reality (VR) head-mounted displays in an asymmetric setting for collaborative visualization. To gain an initial understanding and better inform the designs for asymmetric systems, the authors conducted a formative study with 12 pairs of participants who collaborated in asymmetric (PC-VR) and symmetric settings (PC-PC and VR-VR). Based on key findings and observations from this first study, they improved their asymmetric design. Another ten pairs of participants then collaborated with enhanced PC-VR and PC-PC conditions in a follow-up study. The authors found that a well-designed asymmetric collaboration system could be as effective as a symmetric system. Surprisingly, participants using PC perceived less mental demand and effort in the asymmetric setting (PC-VR) compared to the symmetric setting (PC-PC). They provided fine-grained discussions about the trade-offs between different collaboration settings. This research provides valuable insights into how collaborative visualization can be used effectively in distributed asymmetrical settings. It highlights the importance of designing systems that can accommodate various computing devices while maintaining effectiveness. The findings also suggest that designers should consider incorporating VR head-mounted displays into their systems to enhance collaboration experiences. Overall, this paper contributes to our understanding of how technology can support problem solving through collaborative visualization in distributed teams. It emphasizes the need for careful consideration when designing such systems so that users can benefit from enhanced collaboration experiences without sacrificing effectiveness or efficiency.
AI-generated keywords: Collaborative Visualization Distributed Asymmetrical Settings Virtual Reality Mental Demand Problem-Solving

AI-generated Key Points

  • The paper presents empirical knowledge of user experience for collaborative visualization in a distributed asymmetrical setting through controlled user studies.
  • The study explores scenarios where collaborators use different computing environments in different places and investigates the use of VR head-mounted displays in an asymmetric setting for collaborative visualization.
  • A formative study was conducted with 12 pairs of participants who collaborated in asymmetric (PC-VR) and symmetric settings (PC-PC and VR-VR).
  • Based on key findings, the authors improved their asymmetric design and another ten pairs of participants collaborated with enhanced PC-VR and PC-PC conditions in a follow-up study.
  • A well-designed asymmetric collaboration system could be as effective as a symmetric system.
  • Participants using PC perceived less mental demand and effort in the asymmetric setting (PC-VR) compared to the symmetric setting (PC-PC).
  • The research provides valuable insights into how collaborative visualization can be used effectively in distributed asymmetrical settings, highlighting the importance of designing systems that can accommodate various computing devices while maintaining effectiveness.
  • Designers should consider incorporating VR head-mounted displays into their systems to enhance collaboration experiences.
  • Overall, this paper contributes to our understanding of how technology can support problem solving through collaborative visualization in distributed teams, emphasizing the need for careful consideration when designing such systems so that users can benefit from enhanced collaboration experiences without sacrificing effectiveness or efficiency.
Also access our AI generated: Comprehensive summary, Lay summary, Blog-like article; or ask questions about this paper to our AI assistant.

Abstract: This paper provided empirical knowledge of the user experience for using collaborative visualization in a distributed asymmetrical setting through controlled user studies. With the ability to access various computing devices, such as Virtual Reality (VR) head-mounted displays, scenarios emerge when collaborators have to or prefer to use different computing environments in different places. However, we still lack an understanding of using VR in an asymmetric setting for collaborative visualization. To get an initial understanding and better inform the designs for asymmetric systems, we first conducted a formative study with 12 pairs of participants. All participants collaborated in asymmetric (PC-VR) and symmetric settings (PC-PC and VR-VR). We then improved our asymmetric design based on the key findings and observations from the first study. Another ten pairs of participants collaborated with enhanced PC-VR and PC-PC conditions in a follow-up study. We found that a well-designed asymmetric collaboration system could be as effective as a symmetric system. Surprisingly, participants using PC perceived less mental demand and effort in the asymmetric setting (PC-VR) compared to the symmetric setting (PC-PC). We provided fine-grained discussions about the trade-offs between different collaboration settings.

Submitted to arXiv on 03 Feb. 2023

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