Research Project Mixes Humans and Machines for Better Crowdsourcing

Crowdsourcing Research Project Mixes Humans and Machines for Better Crowdsourcing By Dian Schaffhauser 05/10/16 How do you maintain the “big picture” in crowdsourcing when a bunch of people are handling different pieces of the work? A team of researchers at Carnegie Mellon University and Bosch argue that computers can guide the process and do a better job than humans could in many cases. In a pair of papers presented this week the team explored the concepts of using a computational system to manage the oversight of a complex project through the small contributions of individuals and using a hybrid approach that combines human judgment with machine algorithms. “The Knowledge Accelerator: Big Picture Thinking in Small Pieces,” and “Alloy: Clustering with Crowds and Computation,” were both presented this week at an…


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