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The Role of Aesthetics in Intentions to Use Digital Health Interventions.

Denison-Day, J. L., Muir, S., Newell, C. and Appleton, K. M, 2023. The Role of Aesthetics in Intentions to Use Digital Health Interventions. PLOS Digital Health, 2 (6), e0000274.

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DOI: 10.1371/journal.pdig.0000274

Abstract

Digital interventions are increasingly recognised as cost-effective treatment solutions for a number of health concerns, but adoption and use of these interventions can be low, affecting outcomes. This research sought to identify how individual aesthetic facets and perceived trust may influence perceptions toward and intentions to use an online health intervention by building on the Technology Acceptance Model, where perceived attractiveness, perceived usefulness, perceived ease of use and perceived enjoyment are thought to predict behavioural intentions towards a website. An online questionnaire study assessed perceptions of nine stimuli varying in four aesthetic facets (simplicity, diversity, colour & craftsmanship), utilising a quasi-experimental within-subjects design with a repetition among three different groups: individuals from the general population who were shown stimuli referring to general health (GP-H) (N = 257); individuals experiencing an eating disorder and shown stimuli referring to eating disorders (ED-ED) (N = 109); and individuals from the general population who were shown stimuli referring to eating disorders (GP-ED) (N = 235). Linear mixed models demonstrated that perceptions of simplicity and craftsmanship significantly influenced perceptions of usefulness, ease of use, enjoyment and trust, which in turn influenced behavioural intentions. This study demonstrates that developing the TAM model to add a further construct of perceived trust could be beneficial for digital health intervention developers. In this study, simplicity and craftsmanship were identified as the aesthetic facets with the greatest impact on user perceptions of digital health interventions.

Item Type:Article
ISSN:2767-3170
Group:Faculty of Science & Technology
ID Code:38727
Deposited By: Symplectic RT2
Deposited On:29 Jun 2023 16:24
Last Modified:29 Jun 2023 16:24

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