A Holistic View of Human Factors in Crowdsourcing
For over 40 years, organization studies have examined human factors in physical workplaces and their influence on the ability of an individual to perform a task, or a set of tasks, alone or in collaboration with others. In a virtual marketplace, the crowd is typically volatile, its arrival and departure asynchronous, and its levels of attention and accuracy diverse. This has generated a wealth of new research ranging from studying workers’ fatigue in task completion to examining the role of motivation in task assignment. I will review such work and argue that we need a holistic view to take full advantage of human factors such as skills, expected wage and motivation, in improving the performance of a crowdsourcing platform. (Slides)
Sihem Amer-Yahia is a CNRS Research Director in Grenoble where she leads the SLIDE team. Her interests are at the intersection of large-scale data management and data analytics. Before joining CNRS, she was Principal Scientist at QCRI, Senior Scientist at Yahoo! Research and Member of Technical Staff at at&t Labs. Sihem served on the SIGMOD Executive Board, the VLDB Endowment, and the EDBT Board. She is Editor-in-Chief of the VLDB Journal. Sihem is PC co-chair for VLDB 2018. Sihem received her Ph.D. in CS from Paris-Orsay and INRIA in 1999, and her Diplôme d’Ingénieur from INI, Algeria.