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Subject:
From:
Jenn Tam <[log in to unmask]>
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Date:
Sun, 4 Apr 2010 21:21:44 -0400
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Hi,

Could you please distribute the Human Computation Workshop (HComp2010)
call for papers which I have pasted into the bottom of this email?

HComp2010 will be co-located with KDD 2010, in Washington DC, USA on
July 25th, 2010 (morning).  The CfP is also available at
http://hcomp.info/HComp2010

Key dates are:

May 3, 2010 (Monday) Electronic paper submission
May 21, 2010 (Friday) Notification of acceptance
May 28, 2010 (Friday) Camera-ready submission
July 25, 2010 (Sunday Morning) Half day Workshop

Thank you,
Jennifer Tam
(on behalf of the HComp 2010 Organizing Committee)

==================================================================================

Human Computation Workshop (HComp2010)
July 25, 2010
Washington, D.C., USA

Call For Papers

Most research in data mining and knowledge discovery relies heavily on
the availability of datasets. With the rapid growth of user generated
content on the internet, there is now an abundance of sources from
which data can be drawn. Compared to the amount of work in the field
on techniques for pattern discovery and knowledge extraction, there
has been little effort directed at the study of effective methods for
collecting and evaluating the quality of data.

Human computation is a relatively new research area that studies the
process of channeling the vast internet population to perform tasks or
provide data towards solving difficult problems that no known
efficient computer algorithms can yet solve. There are various genres
of human computation applications available today. Games with a
purpose (e.g., the ESP Game) specifically target online gamers who, in
the process of playing an enjoyable game, generate useful data (e.g.,
image tags). Crowdsourcing marketplaces (e.g. Amazon Mechanical Turk)
are human computation applications that coordinate workers to perform
tasks in exchange for monetary rewards. In identity verification
tasks, users need to perform some computation in order to access some
online content; one example of such a human computation application is
reCAPTCHA, which leverages millions of users who solve CAPTCHAs every
day to correct words in books that optical character recognition (OCR)
programs fail to recognize with certainty.

Human computation is an area with significant research challenges and
increasing business interest, making this doubly relevant to KDD. KDD
provides an ideal forum for a workshop on human computation as a form
of cost-sensitive data acquisition. The workshop also offers a chance
to bring in practitioners with complementary real-world expertise in
gaming and mechanism design who might not otherwise attend this
academic conference.

The first Human Computation Workshop (HComp 2009) was held on June
28th, 2009, in Paris, France, collocated with KDD 2009. The overall
themes that emerged from this workshop were very clear: on the one
hand, there is the experimental side of human computation, with
research on new incentives for users to participate, new types of
actions, and new modes of interaction. This includes work on new
programming paradigms and game templates designed to enable rapid
prototyping, allow partial completion of tasks, and aid in reusability
of game design. On the more theoretic side, we have research modeling
these actions and incentives to examine what theory predicts about
these designs. Finally, there is work on noisy results generated by
such games and systems: how can we best handle noise, identify labeler
expertise, and use the generated data for data mining purposes?

Learning from HComp 2009, we have expanded the topics of relevance to
the workshop. The goal of HComp 2010 is to bring together academic and
industry researchers in a stimulating discussion of existing human
computation applications and future directions of this new subject
area. We solicit papers related to various aspects of both general
human computation techniques and specific applications, e.g. general
design principles; implementation; cost-benefit analysis; theoretical
approaches; privacy and security concerns; and incorporation of
machine learning / artificial intelligence techniques. An integral
part of this workshop will be a demo session where participants can
showcase their human computation applications. Specifically, topics of
interests include, but are not limited to:

    * Abstraction of human computation tasks into taxonomies of mechanisms
    * Theories about what makes some human computation tasks fun and addictive
    * Differences between collaborative vs. competitive tasks
    * Programming languages, tools and platforms to support human computation
    * Domain-specific implementation challenges in human computation games
    * Cost, reliability, and skill of labelers
    * Benefits of one-time versus repeated labeling
    * Game-theoretic mechanism design of incentives for motivation and
honest reporting
    * Design of manipulation-resistance mechanisms in human computation
    * Effectiveness of CAPTCHAs
    * Concerns regarding the protection of labeler identities
    * Active learning from imperfect human labelers
    * Creation of intelligent bots in human computation games
    * Utility of social networks and social credit in garnering data
    * Optimality in the context of human computation
    * Focus on tasks where crowds, not individuals, have the answers
    * Limitations of human computation

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