Abstract
In Personal Informatics (PI) systems, users can obtain information
about themselves and the way they live their lives.
Such data can be difficult to interpret: what constitutes a
high value for one person may be normal for another. And
what if the data does not match the user’s self-image? Our
study shows that participants’ interpretations of feedback
about their stress level were biased by their expectations
of what the graph ‘should’ show. Nevertheless, participants
were susceptible to value interpretations of their data suggested
by the visualization. This latter finding may be problematic
if the standardized interpretation suggested by such
a system is not accurate for the individual user in question.
We therefore argue that value interpretations of PI
data should be personalized and future designs of PI data
visualizations should incorporate ambiguity and visualize
uncertainty.
about themselves and the way they live their lives.
Such data can be difficult to interpret: what constitutes a
high value for one person may be normal for another. And
what if the data does not match the user’s self-image? Our
study shows that participants’ interpretations of feedback
about their stress level were biased by their expectations
of what the graph ‘should’ show. Nevertheless, participants
were susceptible to value interpretations of their data suggested
by the visualization. This latter finding may be problematic
if the standardized interpretation suggested by such
a system is not accurate for the individual user in question.
We therefore argue that value interpretations of PI
data should be personalized and future designs of PI data
visualizations should incorporate ambiguity and visualize
uncertainty.
| Original language | English |
|---|---|
| Title of host publication | Ubicomp 2016: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 588-593 |
| ISBN (Electronic) | 978-1-4503-4462-3 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016 http://ubicomp.org/ubicomp2016/index.php |
Conference
| Conference | 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) |
|---|---|
| Abbreviated title | UbiComp2016 |
| Country/Territory | Germany |
| City | Heidelberg |
| Period | 12/09/16 → 16/09/16 |
| Internet address |