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Be the Data: Social Meetings with Visual Analytics

机译：成为数据：使用可视化分析的社交会议

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Social meetings provide important venues for people to get connected. However, it is challenging to explore reasons of social gathering, identify its key impact factors, and further use it to support people's social activities. In this paper, we present an embodied visual analytics system, which highlights analyzing and displaying social-cluster related information in real time. In the system, each user represents a data point in a high-dimensional dataset, and their positions reflect a 2D projection of the dataset, by using weighted multidimensional scaling. As users move and socialize with others, the 2D projection is dynamically updated, and relevant information of user clusters is visually analyzed and presented through dimension reduction techniques. We conducted informal social meetings with participants who were a mix of strangers and friends. We found that there are 3 stages of social gathering, corresponding to different interactions in the system. Our results also suggest that the system assists social gathering with dimension reduction visualizations.
机译：社交会议为人们建立联系提供了重要场所。但是，探索社交聚会的原因，确定其主要影响因素并进一步使用它来支持人们的社交活动具有挑战性。在本文中，我们提出了一个体现的可视化分析系统，该系统突出显示了实时分析和显示与社会群体相关的信息。在该系统中，每个用户都代表一个高维数据集中的数据点，并且他们的位置通过使用加权多维缩放来反映该数据集的2D投影。当用户移动并与其他人社交时，二维投影会动态更新，并且通过降维技术直观地分析和呈现用户群的相关信息。我们举行了非正式的社交会议，参与者是陌生人和朋友。我们发现社交聚会分为三个阶段，分别对应于系统中的不同交互。我们的结果还表明，该系统可通过降维可视化帮助社交聚会。

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