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

LOCATION:  TEL, Auditorium 2 (20th floor), Ernst-Reuter-Platz 7, 10587 Berlin

Date/Time: 27.08.2018, 14:15-15:00    

SPEAKER: Paul Grau (TU Berlin)


 In crowd-civic systems, citizens form groups and work towards shared goals, such as discovering social issues or reforming o cial policies. Unfortunately, many real-world systems have been unsuccessful in continually motivating large numbers of citizens to participate voluntarily, despite various approaches such as gami cation and persuasion techniques. In this paper, we examine the in uence 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.



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