Abstract
This paper shares some questions and preliminary findings emerging from a work-in-progress exploring methods to obtain qualitative data to contextualize self-tracked data. With the emergence of more sophisticated body sensors we may be able to automatically record our data but that will not necessary mean that data will be more accurate. Auto-generated data is easier to collect but we are learning how quantified self is not telling the full story. The goal of this paper is to trigger conversation about the need to explore methods to obtain qualitative data from quantitative self-tracked data and about the capacity of the digital traces of our human existence to account for our thoughts and our feelings.
| Original language | English |
|---|---|
| Title of host publication | CHI 2016 Workshop on Personal Information Management (PIM 2016) |
| Editors | William Jones, Catherine Marshall, Victoria Bellotti, Robert Capra, Jesse David Dinneen, Gloria Mark, Karyn Moffatt, Jaime Teevan, Max Van Kleek |
| Place of Publication | New York NY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Number of pages | 5 |
| Publication status | Published - 2016 |
| Externally published | Yes |
| Event | Workshop on Personal Information Management 2016 - San Jose, United States of America Duration: 7 May 2018 → 8 May 2018 http://pimworkshop.org/2016/ |
Conference
| Conference | Workshop on Personal Information Management 2016 |
|---|---|
| Abbreviated title | PIM 2016 |
| Country/Territory | United States of America |
| City | San Jose |
| Period | 7/05/18 → 8/05/18 |
| Internet address |
Keywords
- Quantified self
- Qualified self
- Communities
- Self-Tracking
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