mQoL smart lab: quality of life living lab for interdisciplinary experiments

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

mQoL smart lab : quality of life living lab for interdisciplinary experiments. / De Masi, Alexandre; Ciman, Matteo; Gustarini, Mattia; Wac, Katarzyna.

UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, 2016. p. 635-640.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

De Masi, A, Ciman, M, Gustarini, M & Wac, K 2016, mQoL smart lab: quality of life living lab for interdisciplinary experiments. in UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, pp. 635-640, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany, 12/09/2016. https://doi.org/10.1145/2968219.2971593

APA

De Masi, A., Ciman, M., Gustarini, M., & Wac, K. (2016). mQoL smart lab: quality of life living lab for interdisciplinary experiments. In UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 635-640). Association for Computing Machinery. https://doi.org/10.1145/2968219.2971593

Vancouver

De Masi A, Ciman M, Gustarini M, Wac K. mQoL smart lab: quality of life living lab for interdisciplinary experiments. In UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery. 2016. p. 635-640 https://doi.org/10.1145/2968219.2971593

Author

De Masi, Alexandre ; Ciman, Matteo ; Gustarini, Mattia ; Wac, Katarzyna. / mQoL smart lab : quality of life living lab for interdisciplinary experiments. UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, 2016. pp. 635-640

Bibtex

@inproceedings{a0454533d7104848a541c3874cce4b61,
title = "mQoL smart lab: quality of life living lab for interdisciplinary experiments",
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.",
keywords = "Data Analysis, Data Collection, Data Science, People Centric Sensing, Platforms, Smartphones",
author = "{De Masi}, Alexandre and Matteo Ciman and Mattia Gustarini and Katarzyna Wac",
year = "2016",
doi = "10.1145/2968219.2971593",
language = "English",
pages = "635--640",
booktitle = "UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing",
publisher = "Association for Computing Machinery",
note = "null ; Conference date: 12-09-2016 Through 16-09-2016",

}

RIS

TY - GEN

T1 - mQoL smart lab

AU - De Masi, Alexandre

AU - Ciman, Matteo

AU - Gustarini, Mattia

AU - Wac, Katarzyna

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Data Analysis

KW - Data Collection

KW - Data Science

KW - People Centric Sensing

KW - Platforms

KW - Smartphones

UR - http://www.scopus.com/inward/record.url?scp=84991049629&partnerID=8YFLogxK

U2 - 10.1145/2968219.2971593

DO - 10.1145/2968219.2971593

M3 - Article in proceedings

AN - SCOPUS:84991049629

SP - 635

EP - 640

BT - UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

PB - Association for Computing Machinery

Y2 - 12 September 2016 through 16 September 2016

ER -

ID: 168136295