Vol. 7 No. 1 (2019): Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing
Edited by Edith Law and Jennifer Wortman Vaughan
224 pp., references, index, illus.
The 7th volume of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2019) contains the papers presented at Skamania Lodge in Washington State near the Columbia Gorge River, USA from October 28-30, 2019. The conference is sponsored by the Association for the Advancement of Artificial Intelligence (AAAI).
While artificial intelligence (AI) and human-computer interaction (HCI) represent traditional mainstays of the conference, HCOMP believes strongly in publishing broad, interdisciplinary research. The field is particularly unique in the diversity of disciplines it draws upon and contributes to, ranging from human-centered qualitative studies and HCI design, to computer science and artificial intelligence, to economics and the social sciences, all the way to digital humanities, policy, and ethics.
In this volume, the papers emphasize work that generates new insights into the human computation side of HCOMP, such as new understandings about human cognition, human-in-the-loop intelligence systems, human-AI interaction and collaboration, algorithmic and interface techniques for augmenting human abilities to perform tasks, and other issues that affect how humans collaborate with AI systems (such as bias, fairness and interpretability).
HCOMP is aimed at promoting the scientific exchange of advances in human computation and crowdsourcing among researchers, engineers, and practitioners across a spectrum of disciplines. The conference was created by researchers from diverse fields to serve as a key focal point and scholarly venue for the review and presentation of the highest quality work on principles, studies, and applications of human computation. The meeting seeks and embraces work on human computation and crowdsourcing in multiple fields, including human-computer interaction, cognitive psychology, economics, information retrieval, databases, systems, optimization, and multiple subdisciplines of artificial intelligence, such as vision, speech, robotics, machine learning, and planning.