Mental health technologies: Designing with consumers

Orlowski, Simone, Matthews, Ben, Bidargaddi, Niranjan, Jones, Babrielle, Lawn, Sharon, Venning, Anthony and Collin, Philippa (2016) Mental health technologies: Designing with consumers. JMIR Human Factors, 3 1: e4.1-e4.8. doi:10.2196/humanfactors.4336

Author Orlowski, Simone
Matthews, Ben
Bidargaddi, Niranjan
Jones, Babrielle
Lawn, Sharon
Venning, Anthony
Collin, Philippa
Title Mental health technologies: Designing with consumers
Journal name JMIR Human Factors   Check publisher's open access policy
ISSN 2292-9495
Publication date 2016-01-01
Year available 2016
Sub-type Article (original research)
DOI 10.2196/humanfactors.4336
Open Access Status DOI
Volume 3
Issue 1
Start page e4.1
End page e4.8
Total pages 8
Place of publication Toronto, Canada
Publisher J M I R Publications
Language eng
Formatted abstract
Despite growing interest in the promise of e-mental and well-being interventions, little supporting literature exists to guide their design and the evaluation of their effectiveness. Both participatory design (PD) and design thinking (DT) have emerged as approaches that hold significant potential for supporting design in this space. Each approach is difficult to definitively circumscribe, and as such has been enacted as a process, a mind-set, specific practices/techniques, or a combination thereof. At its core, however, PD is a design research tradition that emphasizes egalitarian partnerships with end users. In contrast, DT is in the process of becoming a management concept tied to innovation with strong roots in business and education. From a health researcher viewpoint, while PD can be reduced to a number of replicable stages that involve particular methods, techniques, and outputs, projects often take vastly different forms and effective PD projects and practice have traditionally required technology-specific (eg, computer science) and domain-specific (eg, an application domain, such as patient support services) knowledge. In contrast, DT offers a practical off-the-shelf toolkit of approaches that at face value have more potential to have a quick impact and be successfully applied by novice practitioners (and those looking to include a more human-centered focus in their work). Via 2 case studies we explore the continuum of similarities and differences between PD and DT in order to provide an initial recommendation for what health researchers might reasonably expect from each in terms of process and outcome in the design of e-mental health interventions. We suggest that the sensibilities that DT shares with PD (ie, deep engagement and collaboration with end users and an inclusive and multidisciplinary practice) are precisely the aspects of DT that must be emphasized in any application to mental health provision and that any technology development process must prioritize empathy and understanding over innovation for the successful uptake of technology in this space.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Fri, 29 Jan 2016, 22:11:40 EST by Ben Matthews on behalf of School of Information Technol and Elec Engineering