Monday, February 14, 2011

3rd Human Computation Workshop (HCOMP 2011), San Francisco, August 7 or 8

I am just posting this here, to build some awareness about HCOMP 2011, the 3rd Human Computation Workshop, which will be organized together with AAAI in San Francisco, on August 7 or 8. You can also find more detailed information about the workshop at The submission deadline is April 22 April 29th.

Human Computation is the study of systems where humans perform a major part of the computation or are an integral part of the overall computational system. Over the past few years, we have observed a proliferation of related workshops, new courses, and tutorials, scattered across many conferences.

In this 3rd Human Computation Workshop (HCOMP 2011), we hope to draw together participants across disciplines -- machine learning, HCI, mechanism and market design, information retrieval, decision-theoretic
planning, optimization, computer vision -- for a stimulating full-day workshop at AAAI in the beautiful San Francisco this summer. There will be presentation of new works, lively discussions, poster and demo sessions, and invited talks by Eric Horvitz, Jennifer Wortman and more. There will also be a 4-hour tutorial called "Human Computation: Core Research Questions and State of the Art" at AAAI on August 7, which will give newcomers and current researchers a bird’s eye view of the research landscape of human computation.

Call for Papers

3rd Human Computation Workshop (HCOMP 2011)
co-located with AAAI 2011
August 7 or 8, San Francisco, CA

Human computation is a relatively new research area that studies how to build intelligent systems that involves human computers, with each of them performing computation (e.g., image classification, translation, and protein folding) that leverage human intelligence, but 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 (e.g., the ESP Game) that generates useful data through gameplay, crowdsourcing marketplaces (e.g., Amazon Mechanical Turk) that coordinate workers to perform tasks for monetary rewards, and identity verification systems (e.g. reCAPTCHA) that generate useful data through users performing computation for access to online content.

Despite the variety of human computation applications, there exist many common core research issues. How can we design mechanisms for querying human computers in such a way that incentivizes or encourages truthful responses? What are the techniques for aggregating noisy outputs from multiple human computers? How do we effectively assign tasks to human computers to match their particular expertise and interests? What are some programming paradigms for designing algorithms that effectively leverage the humans in the loop? How do we build human computation systems that involve the joint efforts of both machines and humans, trading off each of their particular strengths and weaknesses? Significant advances on such questions will likely need to draw many disciplines, including machine learning, mechanism and market design, information retrieval, decision-theoretic planning, optimization, human computer interaction, etc.

The workshop recognizes the growing opportunity for AI to function as an enabling technology in human computation systems. At the same time, AI can leverage technical advances and data collected from human
computation systems for its own advancement. The goal of HCOMP 2011 is to bring together academic and industry researchers from diverse subfields in a stimulating discussion of existing human computation applications and future directions of this relatively new subject area. The workshop also aims to broaden the scope of human computation to more than the issue of data collection to a broader definition of human computation, to study systems where humans perform a major part of the computation or are an integral part of the overall computational system.


Topics of interest include, but are not limited to:

  • Programming languages, tools and platforms to support human computation
  • Domain-specific challenges in human computation
  • Methods for estimating the cost, reliability, and skill of labelers
  • Methods for designing and controlling workflows for human computation tasks
  • Empirical and formal models of incentives in human computation systems
  • Benefits of one-time versus repeated labeling
  • Design of manipulation-resistance mechanisms in human computation
  • Concerns regarding the protection of labeler identities
  • Active learning from imperfect human labelers
  • Techniques for inferring expertise and routing tasks
  • Theoretical limitations of human computation


The workshop will consist of several invited talks from prominent researchers in different areas related to human computation, selected presentations of technical and position papers, as well as poster and demo sessions, organized by theme.


Technical papers and position papers may be up to 6 pages in length, and should follow AAAI formatting guidelines. For demos and poster presentations, authors should submit a short paper or extended abstract (up to 2 pages). We welcome early work, and particularly encourage submission of visionary position papers that are more forward looking. Papers must be submitted electronically via CMT. The submission deadline is April 22, 2010.

Workshop Website

For more details, please consult our workshop website.


Luis von Ahn (co-chair)
Panagiotis Ipeirotis (co-chair)
Edith Law
Haoqi Zhang
Jing Wang

Program Committee

Foster Provost
Winter Mason
Eric Horvitz
Ed Chi
Serge Belongie
Paul Bennett
Jennifer Wortman
Yiling Chen
Kristen Grauman
Raman Chandrasekar
Rob Miller
Deepak Ganesan
Chris Callison-Burch
Vitor R. Carvalho
David Parkes