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AbstractThis paper discusses problems faced by planners of real-world online behavioural change interventions who must select behavioural change frameworks from a variety of competing theories and taxonomies. As a solution, this paper examines approaches that isolate the components of behavioural influence and shows how these components can be placed within an adapted communication framework to aid the design and analysis of online behavioural change interventions. Finally, using this framework, a summary of behavioural change factors are presented from an analysis of 32 online interventions.
CitationIn: Proceedings of the 4th International Conference on Persuasive Technology. Claremont, California. Session: Influence and trust, Article no. 17.
PublisherNew York: ACM
TypeMeetings & Proceedings
CollectionsStatistical Cybermetrics Research Group
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