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

Published: 12 September 2016 Publication History

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.

References

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K. Wac, M. Gustarini, J. Marchanoff, M. Fanourakis, C. Tsiourti, M. Ciman, J. Hausmann, G. P. Lorente, "mQoL: Experiences of the 'Mobile Communications and Computing for Quality of Life' Living Lab", in Proceedings of the International Workshop on the Living Lab Approach for Successful Design of Services and Systems in eHealth (LivingLab'15), co-located with the IEEE HealthCom 2015, Boston, USA, October 2015.
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M. Gustarini, S. Ickin, K. Wac, "Evaluation of Challenges in Human Subject Studies "In-the-Wild" Using Subjects' Personal Smartphones", in Proceedings of the International Workshop on Ubiquitous Mobile Instrumentation (UbiMI), co-located with the UBICOMP conference, Zurich, Switzerland, September 2013.
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K. Wac, G. P. Lorente, M. Gustarini, J. Marchanoff, "More Mobile & Not so Well-connected yet: Users' Mobility Inference Model and 6 Month Field Study", in Proceedings of the 7th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT 2015), Brno, Czech Republic, October 2015.
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S. Ickin, K. Wac, M. Fiedler, "Quality of Experience-Based Energy Reduction by Controlling the 3G Cellular Data Traffic on the Smartphone", In Proceedings of the 22nd International Teletraffic Congress Specialist Seminar on Energy Efficient and Green Networking (22 ITC SSEEGN), co-located with the ATNAC, Christchurch, New Zealand, November 2013.
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M. Gustarini, K. Wac, A. Dey, "Anonymous Smartphone Data Collection: Factors Influencing the Users' Acceptance in Mobile Crowd Sensing", Personal and Ubiquitous Computing, 20(1), 65--82, Springer, 2015/2016.
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M. Gustarini, K. Wac, "Ubiquitous Inference of Mobility State of Human Custodian in People-Centric Context Sensing", in Proceedings of the International Workshop on Ubiquitous Mobile Instrumentation (UbiMI), co-located with the UBICOMP conference, Pittsburgh, PA, USA, September 2012.
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Cited By

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  • (2023)Developing a Network-Based Android Messaging Application2023 International Conference on Engineering Applied and Nano Sciences (ICEANS)10.1109/ICEANS58413.2023.10630457(44-48)Online publication date: 25-Oct-2023
  • (2022)The Importance of Smartphone Connectivity in Quality of LifeQuantifying Quality of Life10.1007/978-3-030-94212-0_23(523-551)Online publication date: 14-Apr-2022
  • (2020)Complementing Human Behavior Assessment by Leveraging Personal Ubiquitous Devices and Social Links: An Evaluation of the Peer-Ceived Momentary Assessment MethodJMIR mHealth and uHealth10.2196/159478:8(e15947)Online publication date: 7-Aug-2020
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    cover image ACM Conferences
    UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct
    September 2016
    1807 pages
    ISBN:9781450344623
    DOI:10.1145/2968219
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 12 September 2016

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    Author Tags

    1. data analysis
    2. data collection
    3. data science
    4. people centric sensing
    5. platforms
    6. smartphones

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    Cited By

    View all
    • (2023)Developing a Network-Based Android Messaging Application2023 International Conference on Engineering Applied and Nano Sciences (ICEANS)10.1109/ICEANS58413.2023.10630457(44-48)Online publication date: 25-Oct-2023
    • (2022)The Importance of Smartphone Connectivity in Quality of LifeQuantifying Quality of Life10.1007/978-3-030-94212-0_23(523-551)Online publication date: 14-Apr-2022
    • (2020)Complementing Human Behavior Assessment by Leveraging Personal Ubiquitous Devices and Social Links: An Evaluation of the Peer-Ceived Momentary Assessment MethodJMIR mHealth and uHealth10.2196/159478:8(e15947)Online publication date: 7-Aug-2020
    • (2020)The Five Strands of Living LabACM Transactions on Computer-Human Interaction10.1145/338095827:2(1-26)Online publication date: 11-Mar-2020
    • (2020)mQoL Lab: Step-by-Step Creation of a Flexible Platform to Conduct Studies Using Interactive, Mobile, Wearable and Ubiquitous DevicesProcedia Computer Science10.1016/j.procs.2020.07.033175(221-229)Online publication date: 2020
    • (2020)Peers Know You: A Feasibility Study of the Predictive Value of Peer’s Observations to Estimate Human StatesProcedia Computer Science10.1016/j.procs.2020.07.031175(205-213)Online publication date: 2020
    • (2020)Towards accurate models for predicting smartphone applications’ QoE with data from a living lab studyQuality and User Experience10.1007/s41233-020-00039-w5:1Online publication date: 4-Oct-2020
    • (2019)Smartphones as Sleep Duration Sensors: Validation of the iSenseSleep AlgorithmJMIR mHealth and uHealth10.2196/119307:5(e11930)Online publication date: 21-May-2019
    • (2019)LDC '19Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341162.3347758(878-881)Online publication date: 9-Sep-2019
    • (2018)mQoLProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3267549(642-647)Online publication date: 8-Oct-2018
    • Show More Cited By

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