Analytic Behavior and Trust Building in Visual Analytics

D. Sacha, Ina Boesecke, J. Fuchs, D. Keim
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引用次数: 10

Abstract

Visual Analytics (VA) is a collaborative process between human and computer, where analysts are performing numerous interactions and reasoning activities. This paper presents our current progress in developing a note taking environment (NTE) that can be plugged to any VA system. The NTE supports the analysis process on the one hand, and captures user interactions on the other hand. Our aim is to integrate human lower- (exploration) with higher- (verification) level analytic processes and to investigate those together related to further human factors, such as trust building. We conducted a user study to collect and investigate analytic provenance data. Our early results reveal that analysis strategies and trust building are very individual. However, we were able to identify significant correlations between trust levels and interactions of particular participants.
可视化分析中的分析行为和信任建立
可视化分析(VA)是人与计算机之间的协作过程,分析人员在其中执行大量的交互和推理活动。本文介绍了我们目前在开发笔记环境(NTE)方面的进展,该环境可以插入任何VA系统。NTE一方面支持分析过程,另一方面捕获用户交互。我们的目标是整合人类较低(探索)和较高(验证)层次的分析过程,并调查那些与进一步的人为因素相关的过程,例如信任的建立。我们进行了一项用户研究,以收集和调查分析来源数据。我们的早期结果表明,分析策略和信任建立是非常个人化的。然而,我们能够确定信任水平和特定参与者的互动之间的显著相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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