MobiQ: a modular Android application for collecting social interaction, repeated survey, GPS and photographic data

Yerima, S. Y. et al. (2018) MobiQ: a modular Android application for collecting social interaction, repeated survey, GPS and photographic data. Software X, 7, pp. 143-149. (doi: 10.1016/j.softx.2018.04.006)

162393.pdf - Published Version
Available under License Creative Commons Attribution.



The MobiQ app for Android smartphones is a feature-rich application enabling a novel approach to data collection for longitudinal surveys. It combines continuous automatic background data collection with user supplied data. It can prompt users to complete questionnaires at regular intervals, and allows users to upload photographs for social research projects. The app has the capability to collect GPS location data, and calls and text frequency (excluding content) unobtrusively. The app transmits data to a secure cloud rather than storing research data on the phone, but can also store data temporarily if a data connection is unavailable; hence, MobiQ offers data security advantages over text- or web-based surveys using phones. MobiQ has been pilot tested in the field in a social science research project and is able to collect longitudinal social research data. Due to its modular and flexible design, MobiQ can easily be adapted to suit different research questions. Furthermore, its core design approach which allows for long-term power efficient data collection can be re-used outside the social sciences domain for other kinds of smartphone-based data-driven projects. Projects that have a requirement for communications-based, sensors-based, user-based data collection or any combination of these may find our code and design approach beneficial. For example, MobiQ code and architecture has been successfully adapted to build an app for a project investigating smartphone-based implicit authentication for mobile access control.

Item Type:Articles
Additional Information:MobiQ was developed as part of the project: Using smartphones to enhance longitudinal survey methods, funded by an ESRC Transforming Social Sciences Grant (ES/L003198/1). Mark McCann holds a Medical Research Council/University fellowship supported by MRC partnership grant (MC/PC/13 027), and Medical Research Council and Chief Scientist Office through the SPHSU Complexity in Health Improvement (MC_UU_12017/14/SPHSU14) and Social Relationships and Health Improvement (MC_UU_12017/11/SPHSU11) programmes. Helen McAneney wishes to acknowledge the Medical Research Council Research Methodology Fellowship (G0902112), which funded her during this project.
Glasgow Author(s) Enlighten ID:McCann, Dr Mark
Authors: Yerima, S. Y., Loughlin, M., Sezer, S., Moriarty, J., McCann, M., McAneney, h., O'Hara, L., Tully, M. A., Ell, P. S., Miller, R., and Macdonald, G.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU
Journal Name:Software X
ISSN (Online):2352-7110
Published Online:15 May 2018
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Software X 7:143-149
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
727661SPHSU Core Renewal: Complexity in Health Improvement Research ProgrammeLaurence MooreMedical Research Council (MRC)MC_UU_12017/14IHW - MRC/CSO SPHU
727631SPHSU Core Renewal: Relationships & Health Improvement Research ProgrammeLisa McDaidMedical Research Council (MRC)MC_UU_12017/11IHW - MRC/CSO SPHU
620221MRC SPHSU/GU Transfer FellowshipsLaurence MooreMedical Research Council (MRC)MC_PC_13027IHW - MRC/CSO SPHU