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HCOMP@AAAI 2012: Toronto, Ontario, Canada
- Yiling Chen, Panagiotis G. Ipeirotis, Edith Law, Luis von Ahn, Haoqi Zhang:
The 4th Human Computation Workshop, HCOMP@AAAI 2012, Toronto, Ontario, Canada, July 23, 2012. AAAI Technical Report WS-12-08, AAAI Press 2012 - Organizers.
- Preface.
Full Papers
- Shih-Wen Huang, Wai-Tat Fu:
Systematic Analysis of Output Agreement Games: Effects of Gaming Environment, Social Interaction, and Feedback. - Anand Kulkarni, David Rolnitzky, Philipp Gutheim, Prayag Narula, Tapan S. Parikh, Bjoern Hartmann:
MobileWorks: Designing for Quality in a Managed Crowdsourcing Architecture (Extended Abstract). - A. Kumaran, Sujay Kumar Jauhar, Sumit Basu:
Doodling: A Gaming Paradigm for Generating Language Data. - Yen-Ling Kuo, Jane Yung-jen Hsu, Fuming Shih:
Contextual Commonsense Knowledge Acquisition from Social Content by Crowd-Sourcing Explanations. - Christopher H. Lin, Mausam, Daniel S. Weld:
Crowdsourcing Control: Moving Beyond Multiple Choice. - Subhransu Maji, Gregory Shakhnarovich:
Part Annotations via Pairwise Correspondence. - Andrew Mao, Yiling Chen, Krzysztof Z. Gajos, David C. Parkes, Ariel D. Procaccia, Haoqi Zhang:
TurkServer: Enabling Synchronous and Longitudinal Online Experiments. - Hao Su, Jia Deng, Li Fei-Fei:
Crowdsourcing Annotations for Visual Object Detection. - Jinfeng Yi, Rong Jin, Anil K. Jain, Shaili Jain:
Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach. - Haoqi Zhang, John K. Lai, Moritz Bächer:
Hallucination: A Mixed-Initiative Approach for Efficient Document Reconstruction.
Posters
- Suhas Aggarwal:
Captchas With a Purpose. - François Bry, Christoph Wieser:
Squaring and Scripting the ESP Game. - David Engel, Verena Kottler, Christoph Malisi, Marc Röttig, Eva-Maria Willing, Sebastian Schultheiß:
Crowd-Sourcing Design: Sketch Minimization using Crowds for Feedback. - Yotam I. Gingold, Etienne Vouga, Eitan Grinspun, Haym Hirsh:
Diamonds From the Rough: Improving Drawing, Painting, and Singing via Crowdsourcing. - Harry Halpin, Roi Blanco:
Machine-Learning for Spammer Detection in Crowd-Sourcing. - Christopher G. Harris:
Detecting Deceptive Opinion Spam Using Human Computation. - Chien-Ju Ho, Yu Zhang, Jennifer Wortman Vaughan, Mihaela van der Schaar:
Towards Social Norm Design for Crowdsourcing Markets. - Hyun Joon Jung, Matthew Lease:
Improving Quality of Crowdsourced Labels via Probabilistic Matrix Factorization. - Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima:
Learning from Crowds and Experts. - Nina Runge, Niklas Kilian, Jan D. Smeddinck, Markus Krause:
Predicting Crowd-Based Translation Quality with Language-Independent Feature Vectors. - Nicolas Kokkalis, Johannes Huebner, Steven Diamond, Dominic Becker, Michael Chang, Moontae Lee, Florian Schulze, Thomas Köhn, Scott R. Klemmer:
Automatically Providing Action Plans Helps People Complete Tasks. - Markus Krause, Jan D. Smeddinck, Aneta Takhtamysheva, Velislav Markov, Nina Runge:
Playful Surveys: Easing Challenges of Human Subject Research with Online Crowds. - Boyang Li, Darren Scott Appling, Stephen Lee-Urban, Mark O. Riedl:
Learning Sociocultural Knowledge via Crowdsourced Examples. - Christopher H. Lin, Mausam, Daniel S. Weld:
Dynamically Switching between Synergistic Workflows for Crowdsourcing. - Mehdi Manshadi, Carolyn Keenan, James F. Allen:
Using the Crowd to Do Natural Language Programming. - Andrew Mao, Ariel D. Procaccia, Yiling Chen:
Social Choice for Human Computation. - Mohamed Musthag, Deepak Ganesan:
The Role of Super Agents in Mobile Crowdsourcing. - Gireeja Ranade, Lav Raj Varshney:
To Crowdsource or Not To Crowdsource? - Jun Wang, Bei Yu:
Collecting Representative Pictures for Words: A Human Computation Approach Based on Draw Something Game. - Daniel S. Weld, Eytan Adar, Lydia B. Chilton, Raphael Hoffmann, Eric Horvitz, Mitchell Koch, James A. Landay, Christopher H. Lin, Mausam:
Personalized Online Education - A Crowdsourcing Challenge.
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