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Tailoring a Points Scoring Mechanism for Crowd-Based Knowledge Pooling

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Title: Tailoring a Points Scoring Mechanism for Crowd-Based Knowledge Pooling
Authors: Richter, Ganit
Raban, Daphne R.
Rafaeli, Sheizaf
Keywords: Gamification
crowds, gamification, motivation, points, scoring mechanism design
Issue Date: 03 Jan 2018
Abstract: We address the design of point scoring mechanisms in games for crowds, to promote user motivations to contribute knowledge. We measure the effectiveness of the scoring mechanism on users’ performance across three types of crowd: general public, students in their field of study, general students. The conditions were: reward-free games (control group) and two reward-based systems differing in the algorithm applied (linear y=3x vs. exponential y=6ex). Results support the importance of the mathematical function of scores assignment as a motivator for knowledge contribution, and indicate that the effect of the scoring mechanism design should be tailored according to the type of crowd. These findings provide insights for designers of gamified systems on how to improve knowledge contributions in crowd-based systems.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/50028
ISBN: 978-0-9981331-1-9
DOI: 10.24251/HICSS.2018.141
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Gamification


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