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Developing smartphone apps for behavioural studies: the AlcoRisk App case study


Smith, A and de Salas, K and Lewis, I and Schuz, B, Developing smartphone apps for behavioural studies: the AlcoRisk App case study, Journal of Biomedical Informatics, 72 pp. 108-119. ISSN 1532-0464 (2017) [Refereed Article]

Copyright Statement

Copyright 2017 Elsevier Inc.

DOI: doi:10.1016/j.jbi.2017.07.007


Smartphone apps have emerged as valuable research tools to sample human behaviours at their time of occurrence within natural environments. Human behaviour sampling methods, such as Ecological Momentary Assessment (EMA), aim to facilitate research that is situated in ecologically valid real world environments rather than laboratory environments. Researchers have trialled a range of EMA smartphone apps to sample human behaviours such as dieting, physical activity and smoking. Software development processes for EMA smartphones apps, however, are not widely documented with little guidance provided for the integration of complex multidisciplinary behavioural and technical fields. In this paper, the AlcoRisk app for studying alcohol consumption and risk taking tendencies is presented alongside a software development process that integrates these multidisciplinary fields. The software development process consists of three stages including requirements analysis, feature and interface design followed by app implementation. Results from a preliminary feasibility study support the efficacy of the AlcoRisk app’s software development process.

Item Details

Item Type:Refereed Article
Keywords:smartphone, app development, ecological momentary assessment, software development process, alcohol consumption, risk taking tendencies
Research Division:Information and Computing Sciences
Research Group:Human-centred computing
Research Field:Mixed initiative and human-in-the-loop
Objective Division:Information and Communication Services
Objective Group:Other information and communication services
Objective Field:Other information and communication services not elsewhere classified
UTAS Author:Smith, A (Mr Anthony Smith)
UTAS Author:de Salas, K (Associate Professor Kristy de Salas)
UTAS Author:Lewis, I (Dr Ian Lewis)
UTAS Author:Schuz, B (Dr Benjamin Schuz)
ID Code:118492
Year Published:2017
Web of Science® Times Cited:8
Deposited By:Information and Communication Technology
Deposited On:2017-07-13
Last Modified:2018-08-03

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