OmniTrack: A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking
OmniTrack: A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking
复制标题
OmniTrack：利用半自动跟踪的灵活自我跟踪方法
DOI：
10.1145/3130930
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Seo, Jinwook
中科院分区：
文献类型：
--
作者：
Kim, Young-Ho;Jeon, Jae Ho;Lee, Bongshin;Choe, Eun Kyoung;Seo, Jinwook
我们现在看到越来越多的自我跟踪应用程序和可穿戴设备。尽管有大量可用的工具，但是对于自我跟踪者来说，找到适合他们独特的跟踪需求、偏好和承诺的应用程序仍然是一个挑战。此外，人们受到跟踪工具初始设计的限制，因为很难修改、扩展或混合现有工具。本文提出了一种移动自跟踪系统OmniTrack，它可以让自跟踪者构建自己的跟踪器和定制跟踪项目，以满足他们个人的跟踪需求。为了为OmniTrack设计提供信息，我们首先进行了半结构化访谈（N = 12），并分析了现有的移动跟踪应用程序（N = 62）。然后，我们设计并开发了OmniTrack作为Android移动应用程序，利用半自动跟踪方法，结合手动和自动跟踪方法。我们通过可用性研究（N = 10）评估OmniTrack，并根据反馈改进其界面。最后，我们进行了为期3周的部署研究（N = 21），以评估人们是否可以利用OmniTrack的灵活和可定制的设计来满足他们的跟踪需求。从这项研究中，我们展示了参与者如何使用OmniTrack来创建、修改和适当的跟踪器——从简单的情绪跟踪器到复杂的日常活动跟踪器。我们讨论了OmniTrack如何随着时间的推移积极影响和支持自我跟踪者的跟踪实践，以及如何通过提供更合适的可视化和可共享模板，结合外部上下文以及支持研究人员独特的数据收集需求来进一步改进OmniTrack。
We now see an increasing number of self-tracking apps and wearable devices. Despite the vast number of available tools, however, it is still challenging for self-trackers to find apps that suit their unique tracking needs, preferences, and commitments. Furthermore, people are bounded by the tracking tools’ initial design because it is difficult to modify, extend, or mash up existing tools. In this paper, we present OmniTrack, a mobile self-tracking system, which enables self-trackers to construct their own trackers and customize tracking items to meet their individual tracking needs. To inform the OmniTrack design, we first conducted semi-structured interviews (N = 12) and analyzed existing mobile tracking apps (N = 62). We then designed and developed OmniTrack as an Android mobile app, leveraging a semi-automated tracking approach that combines manual and automated tracking methods. We evaluated OmniTrack through a usability study (N = 10) and improved its interfaces based on the feedback. Finally, we conducted a 3-week deployment study (N = 21) to assess if people can capitalize on OmniTrack’s flexible and customizable design to meet their tracking needs. From the study, we showed how participants used OmniTrack to create, revise, and appropriate trackers—ranging from a simple mood tracker to a sophisticated daily activity tracker. We discuss how OmniTrack positively influences and supports self-trackers’ tracking practices over time, and how to further improve OmniTrack by providing more appropriate visualizations and sharable templates, incorporating external contexts, and supporting researchers’ unique data collection needs.