Chronodes: Interactive Multifocus Exploration of Event Sequences
Chronodes: Interactive Multifocus Exploration of Event Sequences
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Chronodes：事件序列的交互式多焦点探索
DOI：
10.1145/3152888
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发表时间：
2018
影响因子：
3.4
通讯作者：
Chau, Duen Horng
中科院分区：
文献类型：
--
作者：
Polack Jr., Peter J.;Chen, Shang-Tse;Kahng, Minsuk;Barbaro, Kaya De;Basole, Rahul;Sharmin, Moushumi;Chau, Duen Horng
移动医疗 (mHealth) 技术的出现对当前可视化、交互工具和算法的能力提出了挑战。我们推出了 Chronodes，这是一个交互式系统，它将数据挖掘和以人为中心的可视化技术相结合，以支持纵向移动医疗数据的探索性分析。 Chronodes 提取并可视化频繁的事件序列，揭示移动医疗数据的多个参与者时间线的时间顺序模式。然后，它结合新颖的交互和可视化技术来实现多焦点事件序列分析，使健康研究人员能够使用事件序列组合交互式地定义、探索和比较参与者行为组。通过总结由 20 名行为和生物医学健康专家参与的试点研究获得的见解，我们讨论了 Chronodes 在移动医疗领域的功效和潜在影响。最后，我们概述了移动医疗领域重要的开放挑战，并为未来的研究提供建议和设计指南。
The advent of mobile health (mHealth) technologies challenges the capabilities of current visualizations, interactive tools, and algorithms. We present Chronodes, an interactive system that unifies data mining and human-centric visualization techniques to support explorative analysis of longitudinal mHealth data. Chronodes extracts and visualizes frequent event sequences that reveal chronological patterns across multiple participant timelines of mHealth data. It then combines novel interaction and visualization techniques to enable multifocus event sequence analysis, which allows health researchers to interactively define, explore, and compare groups of participant behaviors using event sequence combinations. Through summarizing insights gained from a pilot study with 20 behavioral and biomedical health experts, we discuss Chronodes’s efficacy and potential impact in the mHealth domain. Ultimately, we outline important open challenges in mHealth, and offer recommendations and design guidelines for future research.