HCSep 5, 2016

Incentive Engineering Framework for Crowdsourcing Systems

arXiv:1609.01348v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of user participation for crowdsourcing system designers, but it is incremental as it builds on existing work without introducing a new paradigm.

The paper tackles the problem of designing effective incentives to motivate users in crowdsourcing systems, proposing a general and systematic framework for system designers to implement incentives that influence desirable user behaviors.

Significant effort has been made to understand user motivation and to elicit user participation in crowdsourcing systems. However, incentive engineering, i.e., designing incentives that can purposefully motivate users, is still an open question and remains one of the key challenges of crowdsourcing initiatives. In this work in progress, we propose a general and systematic incentive engineering framework that system designers can use to implement appropriate incentives in order to effect desirable user behaviours.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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