Mapping and Taking Stock of the Personal Informatics Literature

被引:87
作者
Epstein, Daniel A. [1 ]
Caldeira, Clara [2 ]
Figueiredo, Mayara Costa [1 ]
Lu, Xi [1 ]
Silva, Lucas M. [1 ]
Williams, Lucretia [1 ]
Lee, Jong Ho [1 ]
Li, Qingyang [1 ]
Ahuja, Simran [1 ]
Chen, Qiuer [1 ]
Dowlatyari, Payam [1 ]
Hilby, Craig [3 ]
Sultana, Sazeda [1 ]
Eikey, Elizabeth, V [4 ]
Chen, Yunan [1 ]
机构
[1] Univ Calif Irvine, Irvine, CA 92697 USA
[2] Indiana Univ, Bloomington, IN 47405 USA
[3] Univ Texas Dallas, Richardson, TX 75083 USA
[4] Univ Calif San Diego, San Diego, CA 92103 USA
来源
PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT | 2020年 / 4卷 / 04期
基金
美国国家科学基金会;
关键词
Personal Informatics; Self-Tracking; Quantified Self; Personal Tracking; Mapping Review; QUANTIFIED-SELF; PHYSICAL-ACTIVITY; BIG DATA; HEALTH; TECHNOLOGY; FEEDBACK; BEHAVIOR; PROMISE; PATIENT; MODEL;
D O I
10.1145/3432231
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The research community on the study and design of systems for personal informatics has grown over the past decade. To take stock of what the topics the field has studied and methods the field has used, we map and label 523 publications from ACM's library, IEEE Xplore, and PubMed. We surface that the literature has focused on studying and designing for health and wellness domains, an emphasis on understanding and overcoming barriers to data collection and reflection, and progressively fewer contributions involving artifacts being made. Our mapping review suggests directions future research could explore, such as identifying and resolving barriers to tracking stages beyond collection and reflection, engaging more with domain experts, and further discussing the privacy and ethical concerns around tracked data.
引用
收藏
页数:38
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