Abstract
Randomized controlled trials to evaluate the effectiveness of eHealth technologies provide only little understanding in why a particular outcome did occur. Log data analysis is a promising methodology to explain the found effects of eHealth technologies and to improve the effects. In this paper, we describe our experiences with the collection, analysis, and interpretation of log data from eHealth technology so far. It serves as a first step towards the development of a log data protocol to support eHealth research and will be extended and validated for different types of research questions and eHealth applications in the future.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Fourth International Workshop on Behavior Change Support Systems co-located with the 11th International Conference on Persuasive Technology |
| Editors | O. Kulyk, L. Siemons, H Oinas-Kukkonen, L. van Gemert-Pijnen |
| Pages | 56-60 |
| Number of pages | 5 |
| Publication status | Published - 5 Apr 2016 |
| Event | Fourth International Workshop on Behavior Change Support Systems, BCSS 2016: Epic for Change, the Pillars for Persuasive Technology for Smart Societies - Universität Salzburg, Salzburg, Austria Duration: 5 Apr 2016 → 7 Apr 2016 Conference number: 4 |
Conference
| Conference | Fourth International Workshop on Behavior Change Support Systems, BCSS 2016 |
|---|---|
| Abbreviated title | BCSS |
| Country/Territory | Austria |
| City | Salzburg |
| Period | 5/04/16 → 7/04/16 |
Keywords
- METIS-316641
- log data analysis
- black box
- EHealth
- Evaluation
- IR-101923