Quality improvement methods are essential to gathering high-quality crowdsourced data,
both for research and industry applications. A popular and broadly applicable method is task …

Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …

The uptake of artificial intelligence-based applications raises concerns about the fairness
and transparency of AI behaviour. Consequently, the Computer Science community calls for …

Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

Crowdsourcing is an emerging business model where tasks are accomplished by the
general public; the crowd. Crowdsourcing has been used in a variety of disciplines …

This study employs hierarchical cluster analysis, strategic diagrams and network analysis to
map and visualize the intellectual landscape of the CHI conference on Human Computer …

Although emergency services have already recognized the importance of citizen-initiated
activities during disasters, still questions with regard to the coordination of spontaneous …

Widespread use of advanced mobile devices has led to the emergence of a new class of
crowdsourcing called spatial crowdsourcing. Spatial crowdsourcing advances the potential …

Context: Crowdsourcing, or tapping into the power of the crowd for problem solving, has
gained ever-increasing attraction since it was first introduced. Crowdsourcing has been …

While crowd workers typically complete a variety of tasks in crowdsourcing platforms, there
is no widely accepted method to successfully match workers to different types of tasks …