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Supporting Exploratory Search with a Visual User-Driven Approach

机译:通过可视的用户驱动方法支持探索性搜索

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Whenever users engage in gathering and organizing new information, searching and browsing activities emerge at the core of the exploration process. As the process unfolds and new knowledge is acquired, interest drifts occur inevitably and need to be accounted for. Despite the advances in retrieval and recommender algorithms, real-world interfaces have remained largely unchanged: results are delivered in a relevance-ranked list. However, it quickly becomes cumbersome to reorganize resources along new interests, as any new search brings new results. We introduce an interactive user-driven tool that aims at supporting users in understanding, refining, and reorganizing documents on the fly as information needs evolve. Decisions regarding visual and interactive design aspects are tightly grounded on a conceptual model for exploratory search. In other words, the different views in the user interface address stages of awareness, exploration, and explanation unfolding along the discovery process, supported by a set of text-mining methods. A formal evaluation showed that gathering items relevant to a particular topic of interest with our tool incurs in a lower cognitive load compared to a traditional ranked list. A second study reports on usage patterns and usability of the various interaction techniques within a free, unsupervised setting.
机译:每当用户参与收集和组织新信息时,搜索和浏览活动就会成为探索过程的核心。随着过程的发展和获取新知识,不可避免地会发生利益漂移,需要加以考虑。尽管检索和推荐器算法取得了进步,但现实世界的界面在很大程度上保持不变:结果以相关性排名列表的形式提供。然而,随着任何新的搜索带来新的结果,按照新的兴趣重新组织资源变得很麻烦。我们引入了一种交互式的用户驱动工具,旨在随着信息需求的发展,支持用户即时地理解,完善和重组文档。有关视觉和交互设计方面的决策紧密基于用于探索性搜索的概念模型。换句话说,在用户界面中的不同视图解决了在认知过程,探索和解释阶段中发现过程的展开,这些过程由一组文本挖掘方法支持。正式评估表明,与传统排名列表相比,使用我们的工具收集与特定感兴趣主题相关的项目所产生的认知负担较低。第二项研究报告了在自由,无监督的环境下各种交互技术的使用模式和可用性。

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