Papers from the 2011 AAAI Workshop
Luis von Ahn, Panagiotis G. Ipeirotis, Workshop Cochairs
Human computation is a relatively new research area that studies how to build intelligent systems that involve human computers, with each of them performing computation (for example, image classification, translation, and protein folding) that challenges even the most sophisticated AI algorithms that exist today. With the immense growth of the Web, human computation systems can now leverage the abilities of an unprecedented number of Internet users to perform complex computation. Various genres of human computation applications are available today, including games with a purpose (for example, the ESP Game), crowdsourcing marketplaces (for example, Amazon Mechanical Turk), and identity verification systems (for example, reCAPTCHA).
Despite the variety of human computation applications, there exist many common core research issues. How can we design mechanisms for querying human computers that incentivizes truthful responses? How do we effectively assign tasks to human computers to match their particular expertise and interests? What are programming paradigms for designing algorithms that effectively leverage a crowd? How do we build human computation systems that involve the joint efforts of both machines and humans? Significant advances on such questions will likely draw on many disciplines, including machine learning, mechanism and market design, information retrieval, decision-theoretic planning, optimization, human computer interaction, etc.
The goal of this workshop is to bring together academic and industry researchers from diverse subfields in AI for a stimulating discussion of existing human computation applications and future directions of this relatively new subject area.