Abstract
As a base for hypothesis formulation and testing, accurate, timely and reproducible data collection is a challenge for all researchers. Data collection is especially challenging in uncontrolled environments, outside of the lab and when it involves many collaborating disciplines, where the data must serve quality research in all of them. In this paper, we present own "mQoL Smart Lab" for interdisciplinary research efforts on individuals' "Quality of Life" improvement. We present an evolution of our current in-house living lab platform enabling continuous, pervasive data collection from individuals' smartphones. We discuss opportunities for mQoL stemming from developments in machine learning and big data for advanced data analytics in different disciplines, better meeting the requirements put on the platform.
| Original language | English |
|---|---|
| Title of host publication | UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
| Number of pages | 6 |
| Publisher | Association for Computing Machinery |
| Publication date | 2016 |
| Pages | 635-640 |
| ISBN (Electronic) | 978-1-4503-4462-3 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016 |
Conference
| Conference | 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
|---|---|
| Country/Territory | Germany |
| City | Heidelberg |
| Period | 12/09/2016 → 16/09/2016 |
Keywords
- Data Analysis
- Data Collection
- Data Science
- People Centric Sensing
- Platforms
- Smartphones