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Interactive Region-of-Interest Discovery using Exploratory Feedback
arXiv - CS - Databases Pub Date : 2021-07-29 , DOI: arxiv-2107.14274
Behrooz Omidvar-Tehrani

In this paper, we propose a geospatial data management framework called IRIDEF which captures and analyzes user's exploratory feedback for an enriched guidance mechanism in the context of interactive analysis. We discuss that exploratory feedback can be a proxy for decision-making feedback when the latter is scarce or unavailable. IRIDEF identifies regions of interest (ROIs) via exploratory feedback and highlights a few interesting and out-of-sight POIs in each ROI. These highlights enable the user to shape up his/her future interactions with the system. We detail the components of our proposed framework in the form of a data analysis pipeline and present the aspects of efficiency and effectiveness for each component. We also discuss evaluation plans and future directions for IRIDEF.

中文翻译:

使用探索性反馈的交互式兴趣区域发现

在本文中,我们提出了一个名为 IRIDEF 的地理空间数据管理框架,它在交互式分析的背景下捕获和分析用户的探索性反馈,以提供丰富的指导机制。我们讨论了当决策反馈稀缺或不可用时,探索性反馈可以作为决策反馈的代理。IRIDEF 通过探索性反馈识别感兴趣的区域 (ROI),并在每个 ROI 中突出显示一些有趣且不可见的 POI。这些亮点使用户能够塑造他/她与系统的未来交互。我们以数据分析管道的形式详细介绍了我们提出的框架的组件,并展示了每个组件的效率和有效性方面。我们还讨论了 IRIDEF 的评估计划和未来方向。
更新日期:2021-08-02
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