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 →

What’s Your Price? The Cost of Asking Crowd Workers to Behave Maliciously

This work was presented at HAIDM 2015. The 2015 workshop on Human-Agent Interaction Design and Models was co-organised by SmartSociety. Abstract: Crowdsourcing has emerged as a powerful way to provide computer systems with quick and easy access to human intelligence. Continue reading →

CrowdMask: Privacy-Preserving Crowd-Powered Systems

This work was presented at HAIDM 2015. The 2015 workshop on Human-Agent Interaction Design and Models was co-organised by SmartSociety. Abstract: It can be hard to automatically identify sensitive content in images or other media because significant context is often Continue reading →