[论文收集] HCOMP 2012概况及收录论文

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

转载于:https://www.cnblogs.com/yuquanlaobo/archive/2012/07/08/2580662.html