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Jenn Tam <[log in to unmask]>
Mon, 3 May 2010 19:43:47 -0400
text/plain (348 lines)
Hi,



We had several requests for an extension to the submission deadline fort
HCOMP2010. We have therefore *extended the submission deadline to* *midnight
PST on Friday May 7th, 2010*. All other dates remain the same:

* *

*Friday, May 7, 2010, midnight PST *

*Electronic paper submission (Extended deadline !!) *

*Friday, May 21, 2010*

Notification of acceptance

*Friday, May 28, 2010*

Camera-ready submission

*Sunday, July 25, 2010*

Half-day Workshop (morning)

   - Papers should be prepared as PDF files using the KDD conference-paper
   format <http://www.acm.org/sigs/publications/proceedings-templates>
   - Long papers should be at most nine pages; short papers at most four
   pages. Demo submissions should include either a previously published paper
   or a one-page extended abstract about the demo.
   - Papers must be submitted electronically via CMT at
   https://cmt.research.microsoft.com/HCOMP2010/
   - Authors are encouraged to present a poster and/or demo of their
   human-computation applications during the workshop. Please indicate in your
   electronic paper submission whether you will participate in the poster/demo
   session.

We request you to tell interested colleagues/students  about this extension.

The full call for papers is appended for convenience.

Regards,

Organization Committee, Human Computation Workshop (HComp 2010)



                  **********   call for papers   **********



                Human Computation Workshop 2010 (HCOMP 2010)



                July 25, 2010   Washington DC, USA

                http://hcomp.info/hcomp2010



Submission deadline extended to*: May 7th, 2010 Midnight PST*



                Collocated with ACM SIG KDD-2010





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

interact with practitioners who have complementary real-world expertise

in gaming and mechanism design.



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. On the 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



Workshop Format

* Presentations by Authors

* Talks by invited speakers

* Poster/Demo session



Submission Information

* Papers should be prepared as PDF files using the KDD conference-paper

format, available at

http://www.acm.org/sigs/publications/proceedings-templates



* Long papers should be at most nine pages; short papers at most four

pages. Demo submissions should include either a previously published

paper or a one- page extended abstract about the demo.



* Papers must be submitted electronically via CMT at

https://cmt.research.microsoft.com/HCOMP2010/



* Authors are encouraged to present a poster and/or demo of their human-

computation applications during the workshop. Please indicate in your

electronic paper submission whether you will participate in the

poster/demo session.



Important Dates

*May 7, 2010   (Friday)  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





Program Committee

Serge Belongie, University of California at San Diego

Paul Bennett, Microsoft Research

Sheng-Wei (Kuan-Ta) Chen, Academia Sinica

Ling-Jyh Chen, Academia Sinica

Laura Dabbish, Carnegie Mellon University

Ralf Herbrich, Microsoft Research, Cambridge, UK

Jane Hsu, National Taiwan University

Markus Krause, University of Bremen

Edith Law, Carnegie Mellon University

Hao Ma, Chinese University of Hong Kong

Gabriele Paolacci, University of Venice, Italy

David Parkes, Harvard University

Zoran Popovic, University of Washington

Victor Sheng, University of Central Arkansas

Alexander Sorokin, University of Illinois at Urbana-Champaign

Paul Resnick, University of Michigan



Organizing Committee

Raman Chandrasekar, Microsoft Research

Ed Chi, Xerox PARC

Max Chickering, Microsoft

Panagiotis G Ipeirotis, New York University

Winter Mason, Yahoo! Research

Foster Provost, New York University

Jenn Tam, Carnegie Mellon University

Luis von Ahn, Carnegie Mellon University



Contact email: [log in to unmask]

Workshop website: http://hcomp.info/hcomp2010

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