mQoL Lab: Step-by-step creation of a flexible platform to conduct studies using interactive, mobile, wearable and ubiquitous devices
Research output: Contribution to journal › Conference article › Research › peer-review
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mQoL Lab : Step-by-step creation of a flexible platform to conduct studies using interactive, mobile, wearable and ubiquitous devices. / Berrocal, Allan; Manea, Vlad; de Masi, Alexandre; Wac, Katarzyna.
In: Procedia Computer Science, Vol. 175, 2020, p. 221-229.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - mQoL Lab
AU - Berrocal, Allan
AU - Manea, Vlad
AU - de Masi, Alexandre
AU - Wac, Katarzyna
PY - 2020
Y1 - 2020
N2 - Human subject studies with mobile users are widely used to understand, and model, human aspects such as behaviours and preferences, in the lab and in the wild. These studies usually employ mixed methods, collecting data by active participation and passive sensing using interactive, mobile, wearable, and ubiquitous devices. Researchers rely on a software platform to design and execute their studies, but existing solutions require a steep learning curve, allow little control, and offer limited guarantees. Our research lab built the mQoL Lab platform using open source technologies, and evolved it to a durable and reliable software ecosystem in over ten mobile subject studies along eight years across three countries. In this paper, we share the acquired experience via tangible artifacts such as requirements, architecture, design, step-by-step support, configuration scripts, and recommendations for researchers to construct a software platform supporting mobile subject studies. The paper is especially relevant for researchers embracing short-term to longitudinal, observational or intervention-based studies, leveraging mixed methods, including multiple devices, and tens to hundreds of simultaneous participants.
AB - Human subject studies with mobile users are widely used to understand, and model, human aspects such as behaviours and preferences, in the lab and in the wild. These studies usually employ mixed methods, collecting data by active participation and passive sensing using interactive, mobile, wearable, and ubiquitous devices. Researchers rely on a software platform to design and execute their studies, but existing solutions require a steep learning curve, allow little control, and offer limited guarantees. Our research lab built the mQoL Lab platform using open source technologies, and evolved it to a durable and reliable software ecosystem in over ten mobile subject studies along eight years across three countries. In this paper, we share the acquired experience via tangible artifacts such as requirements, architecture, design, step-by-step support, configuration scripts, and recommendations for researchers to construct a software platform supporting mobile subject studies. The paper is especially relevant for researchers embracing short-term to longitudinal, observational or intervention-based studies, leveraging mixed methods, including multiple devices, and tens to hundreds of simultaneous participants.
KW - Data collection
KW - Mixed methods
KW - Mobile interaction
KW - Mobile platform
KW - Mobile studies
KW - Passive sensing
KW - Wearable devices
UR - https://www.mendeley.com/catalogue/d3af96b7-b4e5-3a8d-8436-4feb45e23ce4/
UR - https://www.mendeley.com/catalogue/d3af96b7-b4e5-3a8d-8436-4feb45e23ce4/
U2 - 10.1016/j.procs.2020.07.033
DO - 10.1016/j.procs.2020.07.033
M3 - Conference article
VL - 175
SP - 221
EP - 229
JO - Procedia Computer Science
JF - Procedia Computer Science
SN - 1877-0509
Y2 - 9 August 2020 through 12 August 2020
ER -
ID: 255886404