How can a scalable and efficient quality management mechanism for cloud labor services be
designed in a way that it delivers results with a well-defined level of quality to the
requester? Cloud labor services are a specific form of crowdsourcing: A coordination platform
serves as an interface between requesters who need to get work done and a large crowd of
workers who want to perform work. An early example of such a platform is Amazon's Web
marketplace Mturk on which service requesters can publish open calls for so-called human
intelligence tasks (HITs).Robert Kern's work makes a considerable contribution toward solving
the quality problem for scalable human work. On the basis of a comprehensive framework of cloud
labor he develops a set of methods to conceptually measure and aggregate the quality of human
work results implements a platform to put those methods to work and evaluates their
application in a number of very compelling real-world scenarios successfully combining
concepts from statistics information technology and management. Reading this book will be
beneficial to novices in cloud labor services looking for orientation in this new field as well
as to advanced researchers and practitioners developing cloud quality concepts.
