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 …

Behavioral research in cognitive and human systems neuroscience has been largely carried
out in-person in laboratory settings. Underpowering and lack of reproducibility due to small …

Crowdsourcing technology platforms specializing in on‐demand last mile delivery face a
novel problem—heightened agent independence increases uncertainty in last mile delivery …

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

The Experience Sampling Method is used to capture high-quality in situ data from study
participants. This method has become popular in studies involving smartphones, where it is …

Incentive is crucial to the success of mobile crowd sensing (MCS) systems. Over the different
manners of incentives, providing monetary rewards has been proved quite useful. However …

Online labor markets have gained significant importance in recent years, drawing
considerable attention in academia and practice. These platforms enable workers worldwide …

Mobility is a crucial sector for the livability of urban spaces, both in terms of accessibility for
people with disabilities, and in terms of enjoyability by people with different interests. The …

This work presents an architecture to help designing and deploying smart mobility
applications. The proposed solution builds on the experience already matured by the …

With the development of mobile technology, spatial crowdsourcing has become a popular
approach in collecting data or road information. However, as the number of spatial …