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TABLETOP '06 Proceedings of the First IEEE International Workshop on Horizontal Interactive Human-Computer Systems
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Table-centric interactive spaces for real-time collaboration
Proceedings of the working conference on Advanced visual interfaces
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ACM International Conference on Interactive Tabletops and Surfaces
Co-located collaborative sensemaking on a large high-resolution display with multiple input devices
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
The Physicality of Technological Devices in Education: Building a Digital Experience for Learning
ICALT '12 Proceedings of the 2012 IEEE 12th International Conference on Advanced Learning Technologies
Proceedings of the 2012 ACM international conference on Interactive tabletops and surfaces
Analyst's Workspace: An embodied sensemaking environment for large, high-resolution displays
VAST '12 Proceedings of the 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
Data Visualization on Interactive Surfaces: A Research Agenda
IEEE Computer Graphics and Applications
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In this paper, we investigate how a distributed model of sensemaking, spread out over multiple displays and devices, impacts the sensemaking process for the individual and for the group, and whether it provides any feasible opportunities for improving the quality and efficiency of sensemaking efforts. Our study compares the use of two display models for collaborative visual analytics, one based on the model of the personal displays with shared visualization spaces and the other based on the distributed model whereby different displays can be appropriated as workspaces in a unified manner by collocated teams. Although the general sensemaking workflow did not change across the two types of systems, we observed that the system based on the distributed model enabled a more transparent interaction for collaborations, and allowed for greater 'objectification' of information. Our findings have significant implications for how future visual analytics systems can be designed to motivate effective collaborative sensemaking.