Tailoring a points scoring mechanism for crowd-based knowledge pooling

Ganit Richter, Daphne R. Raban, Sheizaf Rafaeli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018
EditorsTung X. Bui
Pages1128-1135
Number of pages8
ISBN (Electronic)9780998133119
StatePublished - 2018
Event51st Annual Hawaii International Conference on System Sciences, HICSS 2018 - Big Island, United States
Duration: 2 Jan 20186 Jan 2018

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2018-January

Conference

Conference51st Annual Hawaii International Conference on System Sciences, HICSS 2018
Country/TerritoryUnited States
CityBig Island
Period2/01/186/01/18

All Science Journal Classification (ASJC) codes

  • General Engineering

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