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Design considerations for collaborative visual analytics |
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Notes for this articleAnalysed several web based asynchronous visualisation systems. showed that the aggregation of several users ideas can be beneficial in both providing better quality but also more efficient answers. The paper also made the point that the data gathered from the visualisations needs to be exportable in format that other non technical users (but higher stakeholders) can understand. The case of common ground is again mentioned as a important factor for collaborative quality as users need to be able to easily establish where the group's focus and context is at any time. Also mentioned was the importance of social cooperation and an individual's perception and relationship with the rest of group.
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AbstractVisualizations leverage the human visual system to support the process of sensemaking, in which information is collected, organized, and analyzed to generate knowledge and inform action. Although most research to date assumes a single-user focus on perceptual and cognitive processes, in practice, sensemaking is often a social process involving parallelization of effort, discussion, and consensus building. Thus, to fully support sensemaking, interactive visualization should also support social interaction. However, the most appropriate collaboration mechanisms for supporting this interaction are not immediately clear. In this article, we present design considerations for asynchronous collaboration in visual analysis environments, highlighting issues of work parallelization, communication, and social organization. These considerations provide a guide for the design and evaluation of collaborative visualization systems.
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