Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 162 tok/s
Gemini 2.5 Pro 56 tok/s Pro
GPT-5 Medium 38 tok/s Pro
GPT-5 High 35 tok/s Pro
GPT-4o 104 tok/s Pro
Kimi K2 164 tok/s Pro
GPT OSS 120B 426 tok/s Pro
Claude Sonnet 4.5 35 tok/s Pro
2000 character limit reached

Incentive Engineering Framework for Crowdsourcing Systems (1609.01348v1)

Published 5 Sep 2016 in cs.HC

Abstract: 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.

Citations (1)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.