Intervention Strategies for Increasing Engagement in Volunteer-Based Crowdsourcing

Abstract: Volunteer-based crowdsourcing depend critically on maintaining the engagement of participants. We explore a methodology for extending engagement in citizen science by combining machine learning with intervention design. We first present a platform for using real-time predictions about forthcoming disengagement Continue reading

Improving Productivity in Citizen Science through Controlled Intervention

This work was presented at HAIDM 2015. The 2015 workshop on Human-Agent Interaction Design and Models was co-organised by SmartSociety. Abstract: The majority of volunteers participating in citizen science projects perform only a few tasks each before leaving the system. Continue reading