这是第四届HCOMP，跟上一届一样傍了AAAI。
全称：The 4th Human Computation Workshop (HCOMP 2012)
时间：July 23, 2012（跟上届一样开了一天）
地点：Toronto
URL：http://www.humancomputation.com/2012
收录论文情况：30篇论文（其中20篇是poster）
Session 1: Games
Systematic Analysis of Output Agreement Games: Effects of Gaming Environment, Social Interaction, and Feedback
Shih-Wen Huang, UIUC
Wai-Tat Fu, University of Illinois at Urbana-Champaign
Doodling: A Gaming Paradigm for Generating Language Data
A Kumaran, Microsoft Research India
Sujay Jauhar, University of Wolverhampton
Sumit Basu, Microsoft Research
Session 2: Machine Learning
Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach
Jinfeng Yi, Michigan State University
Rong Jin, Michigan State University
Anil Jain, Michigan State University
Shaili Jain, Yale University
Crowdsourcing Control: Moving Beyond Multiple Choice
Christopher Lin, University of Washington
Mausam, University of Washington
Daniel Weld, University of Washington
Session 3: Platforms
urkServer: Enabling Synchronous and Longitudinal Online Experiments
Andrew Mao, Harvard University
Yiling Chen, Harvard University
Krzysztof Gajos, Harvard University
David Parkes, Harvard University
Ariel Procaccia, Carnegie Mellon University
Haoqi Zhang, Harvard University
MobileWorks: A Non-Marketplace Architecture for Accurate Human Computation
Anand Kulkarni*, MobileWorks / UC Berkeley
Philipp Gutheim, MobileWorks, UC Berkeley
Prayag Narula, MobileWorks, UC Berkeley
David Rolnitzky, MobileWorks
Tapan Parikh, University of California, Berkeley
Bjoern Hartmann, University of California, Berkeley
Session 4: Applications
Crowdsourcing Annotations for Visual Object Detection
Hao Su, Stanford University
Jia Deng, Stanford University
Fei-Fei Li, Stanford University
Part Annotations via Pairwise Correspondence
Subhransu Maji, TTI Chicago
Greg Shakhnarovich, Toyota Technology Institute, at Chicago
Contextual Commonsense Knowledge Acquisition from Social Content by Crowdsourcing Explanations
Yen-Ling Kuo, National Taiwan University
Jane Yung-jen Hsu, National Taiwan University
Fuming Shih,MIT
Hallucination: a mixed-initiative approach for efficient document reconstruction
Haoqi Zhang, Harvard University
John Lai, Harvard University
Moritz Baecher, Harvard University
1st Poster Session
CAPTCHAs with a Purpose
Suhas Aggarwal, IIT Guwahati
Crowd-Sourcing Design: Sketch Minimization using Crowds for Feedback
David Engel, MIT
Verena Kottler, Max Planck Institute for Developmental Biology
Christoph Malisi, Max Planck Institute for Developmental Biology
Marc Röttig, University of Tuebingen Center for Bioinformatics
Eva Willing, Max Planck Institute for Plant~Breeding Research
Sebastian Schultheiss, Max Planck Institute
To Crowdsource or Not to Crowdsource?
Gireeja Ranade, UC Berkeley
Lav R. Varshney, IBM Thomas J. Watson Research Center
Learning from Crowds and Experts
Hiroshi Kajino, The University of Tokyo
Yuta Tsuboi, IBM Research – Tokyo
Issei Sato, The University of Tokyo
Hisashi Kashima, The University of Tokyo
Squaring and Scripting the ESP Game
François Bry, Ludwig-Maximilian University
Christoph Wieser, Ludwig-Maximilian University of Munich
Automatically providing action plans helps people complete tasks
Nicolas Kokkalis, Stanford
Scott Klemmer, Stanford
Thomas Koehn, Stanford
The Role of Super Agents in Mobile Crowdsourcing
Mohamed Musthag, Univ. of Massachusetts, Amhers
Deepak Ganesan, University of Massachusetts
Detecting Deceptive Opinion Spam using Human Computation
Christopher Harris, The University of Iowa
Improving Quality of Crowdsourced Labels via Probabilistic Matrix Factorization
Hyun Joon Jung, University of Texas at Austin
Matthew Lease, University of Texas at Austin
Towards Social Norm Design for Crowdsourcing Markets
Chien-Ju Ho, UCLA
Yu Zhang, UCLA
Jennifer Wortman Vaughan, UCLA
Mihaela van der Schaar, UCLA
2nd Poster Session
Social Choice for Human Computation
Andrew Mao, Harvard University
Ariel Procaccia, Carnegie Mellon University
Yiling Chen, Harvard University
Predicting Crowd-based Translation Quality with Language-independent Feature Vectors
Markus Krause, University of Bremen
Jan Smeddinck, University of Bremen
Niklas Kilian,
Nina Runge, Uni Bremen
Machine-learning for Spammer Detection in Crowd-sourcing
Harry Halpin, MIT
Roi Blanco , Yahoo! Research
Crowdsourcing: Dynamically Switching between Synergistic Workflows
Christopher Lin, University of Washington
Mausam, University of Washington
Daniel Weld, University of Washington
Learning Sociocultural Knowledge via Crowdsourced Examples
Mark Riedl, Georgia Institute of Technolog
Boyang Li, Georgia Institute of Technology
Stephen Lee-Urban, Georgia Institute of Technology
Darren Appling, Georgia Institute of Technology
Playful Surveys: Easing Challenges of Human Subject Research with Online Crowds
Markus Krause, University of Bremen
Jan Smeddinck, University of Bremen
Aneta Takhtamysheva, University of Bremen
Velislav Markov, University of Bremen
Nina Runge, Uni Bremen
Personalized Online Education—A Crowdsourcing Challenge
Daniel Weld, University of Washington
Eric Horvitz, Microsoft Research
Raphael Hoffmann, University of Washington
Eytan Adar, University of Michigan
Lydia Chilton, Unviersity of Washington
Mitchell Koch, Unviersity of Washington
Christopher Lin, University of Washington
Mausam, University of Washington
Using the Crowd to Do Natural Language Programming
Mehdi Manshadi, University of Rochester
Carolyn Keenan, University of Rochester
James Allen, University of Rochester
Diamonds From the Rough: Improving Drawing, Painting, and Singing via Crowdsourcing
Yotam Gingold, Rutgers / Columbia
Etienne Vouga, Columbia University
Eitan Grinspun, Columbia University
Haym Hirsh, Rutgers University
Collecting Representative Pictures for Words: A Human Computation Approach based on Draw Something Game
Jun Wang, Syracuse University
Bei Yu, Syracuse University