Name
Abstract | ||
|---|---|---|
This paper introduces an emerging typology of the 'absences' that confound the study of self-tracking. A review of the literature, and the ongoing work of the authors on the long-term value of self-tracking data, is used as a resource to develop descriptions of levels and types of ?gaps' that emerge as part of the activities, behaviors, technologies, and data practices of self-tracking. Such gaps are shown to be both common and insightful, highlighting the economic, social, behavioral, and psychological layers that undergird self-tracking.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3290607.3312867 | CHI Extended Abstracts |
Keywords | Field | DocType |
data gaps, data practices, personal data, personal informatics, quantified-self, self-tracking, small data | Data science,Personal informatics,Small data,Computer science,Typology,Human–computer interaction,Self tracking | Conference |
ISBN | Citations | PageRank |
978-1-4503-5971-9 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ciaran B. Trace | 1 | 49 | 7.70 |
| Yan Zhang | 2 | 0 | 0.68 |