University of Oulu

Michael Oduor & Harri Oinas-Kukkonen (2019) Committing to change: a persuasive systems design analysis of user commitments for a behaviour change support system, Behaviour & Information Technology, DOI: 10.1080/0144929X.2019.1598495

Committing to change : a persuasive systems design analysis of user commitments for a behaviour change support system

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Author: Oduor, Michael1; Oinas-Kukkonen, Harri1
Organizations: 1Oulu Advanced Research on Services and Information Systems, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2019082024774
Language: English
Published: Informa, 2019
Publish Date: 2020-04-04
Description:

Abstract

Persuasive systems in different domains have been used to support people in changing their behaviours. These systems motivate desirable behaviour in users by providing relevant information, tracking user progress, and giving them feedback. This study investigates the persuasive features of a web-based information system that supports the enforcement of user commitments. A structural equation modelling approach and analysis of open text responses are used to identify the factors that affect the intention to continue to use the system, to gather users’ perspectives on how the system helps them to stick to their goals and the improvements that could be made. Data (N = 227) collected from the system’s users is tested against the proposed research model. The results show that 30% of users’ continuance intention is explained by the implemented persuasive software feature categories (computer-human dialogue support, primary task support, perceived credibility, and social support) and perceived competence. Of these categories, primary task support has the strongest effect on perceived competence and continuance intention. The results also reveal how the system helps users to be consistent in their goals and the lack of specialised social support features. The study concludes with a discussion and recommendations for future research.

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Series: Behaviour & information technology
ISSN: 0144-929X
ISSN-E: 1362-3001
ISSN-L: 0144-929X
Volume: Online first
Issue: Online first
DOI: 10.1080/0144929X.2019.1598495
OADOI: https://oadoi.org/10.1080/0144929X.2019.1598495
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Subjects:
Copyright information: © Taylor Francis 2019. This is an Accepted Manuscript of an article published by Taylor & Francis in Behaviour & Information Technology on ONLINE FIRST, available online: https://www.tandfonline.com/doi/abs/10.1080/0144929X.2019.1598495.