Personalized Motivation-supportive Messages for Increasing Participation in Crowd-civic Systems

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In crowd-civic systems, citizens form groups and work towards shared goals, such as discovering social issues or reforming official policies. Unfortunately, many real-world systems have been unsuccessful in continually motivating large numbers of citizens to participate voluntarily, despite various approaches such as gamification and persuasion techniques. In this paper, we examine the influence of personalized messages designed to support motivation as asserted by the Self-Determination Theory (SDT). We designed a crowd-civic platform for collecting community issues with personalized motivation-supportive messages and conducted two studies: a pair-comparison experiment with 150 participants on Amazon's Mechanical Turk and a live deployment study with 120 university members. Results of the pair-comparison study indicate applicability of SDT's perspective in crowd-civic systems. While applying it in the live system surfaced several challenges, including recruiting participants without interfering with general motivations, the collected data exhibited similar promising trends.
Publisher
Association for Computing Machinery
Issue Date
2018-11
Language
English
Article Type
Article
Citation

Proceedings of the ACM on Human-Computer Interaction - CSCW, v.2, no.60

ISSN
2573-0142
DOI
10.1145/3274329
URI
http://hdl.handle.net/10203/246898
Appears in Collection
CS-Journal Papers(저널논문)
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