第六届AAAI人类计算和众包会议 The sixth AAAI Conference on Human Computation and Crowdsourcing

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活动简介

The 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018) will be held July 5–8 in Zurich, Switzerland at the University of Zurich. HCOMP 2018 will be co-located with the conference on Collective Intelligence (CI 2018).
HCOMP is the premier venue for disseminating the latest research findings on crowdsourcing and human computation. While artificial intelligence (AI) and human-computer interaction (HCI) represent traditional mainstays of the conference, HCOMP believes strongly in inviting, fostering, and promoting broad, interdisciplinary research. This 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, economics and the social sciences, all the way to digital humanities, policy, and ethics. We promote the exchange of advances in human computation and crowdsourcing not only among researchers, but also engineers and practitioners, to encourage dialogue across disciplines and communities of practice.
HCOMP 2018 builds on a successful history of past meetings: five HCOMP conferences (2013–2017) and four earlier workshops, held at the AAAI Conference on Artificial Intelligence (2011–2012), and the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2009–2010).

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Topics of Interests. HCOMP strongly believes in inviting, fostering, and promoting broad, interdisciplinary research on crowdsourcing and human computation. Submissions may present principles, studies, and/or applications of systems that rely on programmatic interaction with crowds, or where human perception, knowledge, reasoning, or physical activity and coordination contributes to the operation of computational systems, applications, or services. More generally, we invite submissions from the broad spectrum of related fields and application areas including (but not limited to):
Crowdsourcing areas: e.g., citizen science, collective action, collective knowledge, crowdsourcing contests, crowd creativity, crowd funding, crowd ideation, crowd sensing, distributed work, freelancer economy, open innovation, microtasks, prediction markets, wisdom of crowds, disaster response and relief, the future of work, etc.Applications: e.g., gaming and gamification, knowledge bases, fact verification, computer vision, databases, digital humanities, information retrieval, machine learning, natural language and speech processing, optimization, programming languages, systems, etc.Crowd/human algorithms: e.g., computer-supported human computation, crowd/human algorithm design and complexity, mechanism design, quality control, etc.Human-centered crowd studies: human-computer interaction, social computing, cultural heritage, computer-supported cooperative work, design, cognitive and behavioral sciences (psychology and sociology), incentives, management science, economics, policy, ethics, etc.