A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking
Young-Ho Kim, Jae Ho Jeon, Bongshin Lee, Eun Kyoung Choe, and Jinwook Seo / 2017
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.
- Young-Ho Kim, Seoul National University, Seoul, Korea
- Jae Ho Jeon, Kakao Corporation, Seongnam, Gyeonggi, Korea
- Bongshin Lee, Microsoft Research, Redmond, WA, USA
- Eun Kyoung Choe, University of Maryland, College Park, MD, USA
- Jinwook Seo, Seoul National University, Seoul, Korea
Website & Supplementary Material
- This work was in part supported by the National Science Foundation under award number CHS-1652715
- This work was in part supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2016R1A2B2007153).
- Young-Ho Kim, Jae Ho Jeon, Bongshin Lee, Eun Kyoung Choe, and Jinwook Seo, "OmniTrack: A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking", [PDF], PACM on Interactive, Mobile, Wearable, and Ubiquitous Technology (IMWUT) and The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) 2017
- Young-Ho Kim, Jae Ho Jeon, Bongshin Lee, Eun Kyoung Choe, and Jinwook Seo, "자유도 높은 자가기록용 모바일 어플리케이션 디자인", 한국정보과학회 2016년 동계학술대회