Mixed Presence Collaboration using Scalable Visualizations in Heterogeneous Display Spaces

February 25th, 2017

Categories: Human Factors, Multimedia, User Groups, Visualization, Tele-Collaboration, Remote Collaboration

Teams of two engaged in mixed presence collaboration, working on finding a location to open a new coffee shop.
Teams of two engaged in mixed presence collaboration, working on finding a location to open a new coffee shop.

Authors

Marrinan, T., Renambot, L., Leigh, J., Forbes, A., Jones, S., Johnson, A.

About

Mixed presence collaboration involves remote collaboration between multiple collocated groups. This paper presents the design and results of a user study that focused on mixed presence collaboration using large-scale tiled display walls. The research was conducted in order to compare data synchronization schemes for multi-user visualization applications. Our study compared three techniques for sharing data between display spaces with varying constraints and affordances. The results provide empirical evidence that using data sharing techniques with continuous synchronization between the sites lead to improved collaboration for a search and analysis task between remotely located groups. We have also identified aspects of synchronized sessions that result in increased remote collaborator awareness and parallel task coordination. It is believed that this research will lead to better utilization of large-scale tiled display walls for distributed group work.

Author Keywords: Mixed presence collaboration; data-conferencing; multi-user interaction; large-scale displays.

ACM Classification Keywords: H.5.3. [Information Interfaces and Presentation]: Group and Organization Interfaces: Computer-supported cooperative work, synchronous interaction, evaluation/methodology.

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Citation

Marrinan, T., Renambot, L., Leigh, J., Forbes, A., Jones, S., Johnson, A., Mixed Presence Collaboration using Scalable Visualizations in Heterogeneous Display Spaces, Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '17), Portland, OR, ISBN: 978-1-4503-4335-0, February 25th, 2017. https://doi.org/10.1145/2998181.2998346