日历可视化的实地研究

D. Huang, Melanie Tory, L. Bartram
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引用次数: 18

摘要

反馈工具帮助人们监测有关自己的信息,以改善他们的健康、可持续性实践或个人福祉。然而,对个人数据(例如,计步器计数、血压读数或家庭用电量)进行推理,以深入了解您当前的做法以及如何改变,可能仅凭数据就具有挑战性。我们将定量反馈数据整合到个人数字日历中;这种方法的目的是使反馈数据易于访问和更易于理解。我们报告了一项为期八周的关于日历可视化工具的实地研究。结果表明,个人日历可以为人们提供丰富的背景来推理他们的反馈数据。日历上的可视化使人们能够快速识别和推理规则模式和异常。基于我们的研究结果,我们还推导出了一个行为反馈过程模型,该模型扩展了现有的技术采用模型。在此基础上,我们反思了持续使用反馈工具的潜在障碍。
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A Field Study of On-Calendar Visualizations
Feedback tools help people to monitor information about themselves to improve their health, sustainability practices, or personal well-being. Yet reasoning about personal data (e.g., pedometer counts, blood pressure readings, or home electricity consumption) to gain a deep understanding of your current practices and how to change can be challenging with the data alone. We integrate quantitative feedback data within a personal digital calendar; this approach aims to make the feedback data readily accessible and more comprehensible. We report on an eight-week field study of an on-calendar visualization tool. Results showed that a personal calendar can provide rich context for people to reason about their feedback data. The on-calendar visualization enabled people to quickly identify and reason about regular patterns and anomalies. Based on our results, we also derived a model of the behavior feedback process that extends existing technology adoption models. With that, we reflected on potential barriers for the ongoing use of feedback tools.
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