Persuasive software features as antecedents to perceived compliance within physical activity behavior change support systems

Akon Obu Ekpezu, Isaac Wiafe and Harri Oinas-Kukkonen

Behaviour and Information Technology, 2025, vol. 44, issue 12, 2949-2967

Abstract: Although behavior change support systems (BCSS) have the potential to improve compliance using persuasive software features, there is a dearth of empirical evidence on how these features impact perceived compliance. This study aimed to investigate how and to what extent the persuasiv systems design (PSD) principles in physical activity BCSS influence perceived compliance. Quantitative data from 403 participants (165 users and 238 prospective users of BCSS designed for PA) was analyzed using partial least squares structural equation modeling. Results revealed differences in how the PSD principles impact perceived compliance between users and prospective users. Perceptions of dialogue support, credibility support, and social support were more relevant to prospective users than to users. Thus, designers should pay more attention to these principles to attract and engage prospective users of BCSS. Conversely, primary task support was more relevant to users than to prospective users. This indicates that once prospective users transition to active users, the focus should shift towards providing persuasive features that facilitate the performance of the primary task. These findings underscore the importance of developing intelligent BCSS that can adapt to the evolving needs and preferences of users at different stages of their interactions with a system.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2024.2421448 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:44:y:2025:i:12:p:2949-2967

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2024.2421448

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().