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Asynchronous self-sharing occurs in most single user desktop applications (see Figure 1a).
On top of it, applications and processing chains can be built to fulfill the needs of users from ground segment processing chains to single user desktop applications.
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In a single-user desktop environment, we performed a user study to see the effectiveness of iPCA for solving analytical tasks, and creating and sharing findings in a single-user desktop environment.
Specifically, we designed a collaborative touch-table application (iPCA-CE) by adopting an existing single-user desktop analytical tool (iPCA).
Although supporting collaboration when solving real-world analytical tasks is important, most visual analytics tools have been designed as single-user desktop systems [7,20].
In this paper, we presented an integrated visual analytics toolset composed of a single-user desktop application and a collaborative touch-table system.
To overcome the limitations of sharing ideas, parallelizing efforts, and performing discussion and consensus building in single-user desktop environments (see Section 2), numerous studies on collaborative visualization have been performed.
A detailed explanation about these annotation techniques is included in Section 5. Creating a collaborative tabletop visual analytics system based on a single-user desktop counterpart is not without technical challenges.
In a collaborative environment, it is easier to share findings and communicate ideas than on a single-user desktop computer, but it may be more difficult to perform individual analyses due to interference [26].
In this paper, a complete visual analytics system is designed for solving real-world tasks having two integrated components: a single-user desktop system and an extended system suitable for a collaborative environment.
Specifically, an existing single-user desktop analytical tool for exploring data using principal component analysis (called iPCA [6]) is adapted into a collaborative touch-table application (called iPCA-CE [7]).
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