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Wolverhampton Intellectual Repository and E-Theses > School of Technology > School of Computing and IT > Statistical Cybermetrics Research Group  > Communication-based influence components model

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/85973
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Title: Communication-based influence components model
Authors: Cugelman, Brian
Thelwall, Mike
Dawes, Philip L.
Citation: In: Proceedings of the 4th International Conference on Persuasive Technology. Claremont, California. Session: Influence and trust, Article no. 17.
Publisher: New York: ACM
Issue Date: 2009
URI: http://hdl.handle.net/2436/85973
DOI: 1541948.1541972
Additional Links: http://portal.acm.org/citation.cfm?id=1541948.1541972&coll=GUIDE&dl=GUIDE&CFID=61069628&CFTOKEN=54715899
Abstract: This 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.
Type: Meetings & Proceedings
Language: en
Keywords: Intervention design
Communication theory
Social marketing
Mass-media
Behavioural medicine
Behaviour
Influence
Behavioural change interventions
Behavioural change
Behavioural influence
Internet-based communication
Interpersonal communication
MeSH: Health Psychology
Evidence-Based Medicine
ISBN: 978-1-60558-376-1
Appears in Collections: Statistical Cybermetrics Research Group

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