Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …

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 …

Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …

The Internet based cyber-physical world has profoundly changed the information
environment for the development of artificial intelligence (AI), bringing a new wave of AI …

Crowdsourcing is a new computing paradigm that harnesses human effort to solve computer-
hard problems, such as entity resolution and photo tagging. The crowd (or workers) have …

Existing studies on task recommendation in crowdsourcing systems provide additional
insights into the field from their perspectives, methodologies, frameworks, and disciplines …

Self-service spatiotemporal crowdsourcing (SSC), a booming variant of spatiotemporal
crowdsourcing (SC), emerges because of the vigorous development of the mobile Internet …

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 …

As mobile phones advance in functionality and capability, they are increasingly being used
as instruments for personal monitoring. Applications are being developed that take …

The mood of individuals in the workplace has been well-studied due to its influence on task
performance, and work engagement. However, the effect of mood has not been studied in …