Mohadis, Hazwani Mohd, Ali, Nazlena Mohamad and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2016) Designing a persuasive physical activity application for older workers: understanding end-user perceptions. Behaviour & Information Technology, 35 (12). pp. 1102-1114. ISSN 1362-3001
Abstract
Among the factors known to encourage healthy ageing is routine physical activity, a behaviour that is not common among the older age group. A Persuasive System Design (PSD) model offers guidelines for designing and evaluating systems aimed at reinforcing, changing or shaping underlying human behaviour and attitudes. The objective of this study was to investigate the perceptions of older workers towards persuasive principles of PSD that was integrated into an application specifically designed to encourage physical activity. Ten older workers aged 50 to 64 years with different physical activity levels participated in this study. Using a think-aloud technique, the participants interacted with a physical activity application whilst verbally expressing their perceptions towards the persuasive elements. The results indicated that the older worker participants had positive views towards persuasive design principles that fell under the categories of primary task, dialogue support and credibility support. However, the persuasive principle of the social support category received contradictory views. Further, it was discovered that the personalization of persuasive principles, the credibility of tailored contents and the establishment of a sense of similarity are imperative in the designing of effective persuasive physical activity applications targeting older workers.
Metadata
Item Type: | Article (Published) |
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Refereed: | Yes |
Uncontrolled Keywords: | Persuasive system design; Behaviour change support system; Physical activity application; Older workers; Design requirements |
Subjects: | Computer Science > Interactive computer systems Computer Science > Computer software |
DCU Faculties and Centres: | Research Institutes and Centres > INSIGHT Centre for Data Analytics DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Publisher: | Taylor and Francis |
Official URL: | http://www.tandfonline.com/doi/full/10.1080/014492... |
Copyright Information: | © 2016 Taylor and Francis. This is an electronic version of an article published in Behaviour & Information Technology and is available online at: http://www.tandfonline.com/doi/full/10.1080/0144929X.2016.1211737 |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | E-ScienceFund MOSTI research grant 06-01-02-SF1083, Science Foundation Ireland under grant 12/RC/2289 |
ID Code: | 21302 |
Deposited On: | 29 Jul 2016 13:50 by Alan Smeaton . Last Modified 31 Oct 2018 11:37 |
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