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ORCIDHCOMP 2014: Pittsburgh, Pennsylvania, USA
- Jeffrey P. Bigham, David C. Parkes:
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2014, November 2-4, 2014, Pittsburgh, Pennsylvania, USA. AAAI 2014, ISBN 978-1-57735-682-0
Contents
- HCOMP-14 Organization.
- Sponsors.
- Preface.
- Kristen Grauman, Robert E. Kraut:
Keynote Speakers.
Research Papers
- Anant P. Bhardwaj, Juho Kim, Steven Dow, David R. Karger, Sam Madden, Rob Miller, Haoqi Zhang:
Attendee-Sourcing: Exploring The Design Space of Community-Informed Conference Scheduling. 2-10 - Jonathan Bragg, Andrey Kolobov, Mausam, Daniel S. Weld:
Parallel Task Routing for Crowdsourcing. 11-21 - Jon Chamberlain:
Groupsourcing: Distributed Problem Solving Using Social Networks. 22-29 - Cen Chen, Shih-Fen Cheng, Aldy Gunawan, Archan Misra, Koustuv Dasgupta, Deepthi Chander:
TRACCS: A Framework for Trajectory-Aware Coordinated Urban Crowd-Sourcing. 30-40 - Maria Christoforaki, Panagiotis G. Ipeirotis:
STEP: A Scalable Testing and Evaluation Platform. 41-49 - Djellel Eddine Difallah, Michele Catasta, Gianluca Demartini, Philippe Cudré-Mauroux:
Scaling-Up the Crowd: Micro-Task Pricing Schemes for Worker Retention and Latency Improvement. 50-58 - Boi Faltings, Radu Jurca, Pearl Pu, Bao Duy Tran:
Incentives to Counter Bias in Human Computation. 59-66 - Maxwell Forbes, Michael Jae-Yoon Chung, Maya Cakmak, Rajesh P. N. Rao:
Robot Programming by Demonstration with Crowdsourced Action Fixes. 67-76 - Gagan Goel, Afshin Nikzad, Adish Singla
:
Mechanism Design for Crowdsourcing Markets with Heterogeneous Tasks. 77-86 - Hyun Joon Jung, Yubin Park, Matthew Lease:
Predicting Next Label Quality: A Time-Series Model of Crowdwork. 87-95 - Hiroshi Kajino, Yukino Baba, Hisashi Kashima:
Instance-Privacy Preserving Crowdsourcing. 96-103 - Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen:
Detecting Non-Adversarial Collusion in Crowdsourcing. 104-111 - Anand Kulkarni, Prayag Narula, David Rolnitzky, Nathan Kontny:
Wish: Amplifying Creative Ability with Expert Crowds. 112-120 - Ronan Le Bras, Yexiang Xue, Richard Bernstein, Carla P. Gomes, Bart Selman:
A Human Computation Framework for Boosting Combinatorial Solvers. 121-132 - David Timothy Lee, Ashish Goel, Tanja Aitamurto, Hélène Landemore:
Crowdsourcing for Participatory Democracies: Efficient Elicitation of Social Choice Functions. 133-142 - Chi-Chin Lin, Yi-Ching Huang, Jane Yung-jen Hsu:
Crowdsourced Explanations for Humorous Internet Memes Based on Linguistic Theories. 143-150 - Christopher H. Lin, Mausam, Daniel S. Weld:
To Re(label), or Not To Re(label). 151-158 - Benjamin Livshits, Todd Mytkowicz:
Saving Money While Polling with InterPoll Using Power Analysis. 159-170 - Victor Naroditskiy, Sebastian Stein, Mirco Tonin, Long Tran-Thanh, Michael Vlassopoulos, Nicholas R. Jennings:
Referral Incentives in Crowdfunding. 171-183 - Masaaki Oka, Taiki Todo, Yuko Sakurai, Makoto Yokoo:
Predicting Own Action: Self-Fulfilling Prophecy Induced by Proper Scoring Rules. 184-191 - Peter Organisciak, Jaime Teevan, Susan T. Dumais, Robert C. Miller, Adam Tauman Kalai:
A Crowd of Your Own: Crowdsourcing for On-Demand Personalization. 192-200 - Patrick C. Shih, Kyungsik Han, John M. Carroll:
Community Poll: Externalizing Public Sentiments in Social Media in a Local Community Context. 201-209 - Vasilis Verroios, Michael S. Bernstein:
Context Trees: Crowdsourcing Global Understanding from Local Views. 210-219 - Bo Waggoner, Yiling Chen:
Output Agreement Mechanisms and Common Knowledge. 220-226 - Michael J. Wilber, Iljung S. Kwak, Serge J. Belongie:
Cost-Effective HITs for Relative Similarity Comparisons. 227-233 - Ming Yin, Yiling Chen, Yuan Sun:
Monetary Interventions in Crowdsourcing Task Switching. 234-241
Works in Progress Abstracts
- Ittai Abraham, Omar Alonso, Vasilis Kandylas, Rajesh Patel, Steven Shelford, Aleksandrs Slivkins:
Using Worker Quality Scores to Improve Stopping Rules. 2-3 - Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima:
Crowdsourced Data Analytics: A Case Study of a Predictive Modeling Competition. 4-5 - Erin L. Brady, Meredith Ringel Morris, Jeffrey P. Bigham:
Friendsourcing for the Greater Good: Perceptions of Social Microvolunteering. 6-7 - Chris Callison-Burch:
Crowd-Workers: Aggregating Information Across Turkers to Help Them Find Higher Paying Work. 8-9 - Quanze Chen, Chenyang Lei, Wei Xu, Ellie Pavlick, Chris Callison-Burch:
Poetry of the Crowd: A Human Computation Algorithm to Convert Prose into Rhyming Verse. 10-11 - Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom:
Optimal Worker Quality and Answer Estimates in Crowd-Powered Filtering and Rating. 12-13 - Michael Feldman, Abraham Bernstein:
Behavior-Based Quality Assurance in Crowdsourcing Markets. 14-15 - Spencer Frazier, Mark O. Riedl:
Persistent and Pervasive Real-World Sensing Using Games. 16-17 - Mitchell L. Gordon, Walter S. Lasecki, Winnie Leung, Ellen Lim, Steven P. Dow, Jeffrey P. Bigham:
Glance Privacy: Obfuscating Personal Identity While Coding Behavioral Video. 18-19 - Ming-Tung Hong, Jane Yung-jen Hsu:
Tranzzl!n9o: A Human Computation Approach to English Translation of Internet Lingo. 20-21 - Ting-Hao K. Huang, Walter S. Lasecki, Alan L. Ritter, Jeffrey P. Bigham:
Combining Non-Expert and Expert Crowd Work to Convert Web APIs to Dialog Systems. 22-23 - Yi-Ching Huang, Jane Yung-jen Hsu:
Crowd-Aware Space Monitoring by Crowdsourcing a Micro QA Task. 24-25 - Miku Imai, Hajime Mizuyama:
Product Concept Evaluation System Applying Preference Market. 26-27 - Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima:
Quality Control for Crowdsourced Enumeration Tasks. 28-29 - Saraschandra Karanam, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan:
Adaptive Performance Optimization over Crowd Labor Channels. 30-31 - Bongjun Kim, Bryan Pardo:
Adapting Collaborative Filtering to Personalized Audio Production. 32-33 - Chandrashekar Lakshminarayanan, Ayush Dubey, Shalabh Bhatnagar, Chithralekha Balamurugan:
A Markov Decision Process Framework for Predictable Job Completion Times on Crowdsourcing Platforms. 34-35 - Walter S. Lasecki, Christopher M. Homan, Jeffrey P. Bigham:
Tuning the Diversity of Open-Ended Responses From the Crowd. 36-37 - Frederick Liu, Jeremy Chiaming Yang, Jane Yung-jen Hsu:
Learning Pronunciation and Accent from The Crowd. 38-39 - Motohiro Makiguchi, Daichi Namikawa, Satoshi Nakamura, Taiga Yoshida, Masanori Yokoyama, Yuji Takano:
Proposal and Initial Study for Animal Crowdsourcing. 40-41 - Lydia Manikonda, Tathagata Chakraborti, Sushovan De, Kartik Talamadupula, Subbarao Kambhampati:
AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans. 42-43 - Pallavi Manohar, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Sakyajit Bhattacharya:
Post It or Not: Viewership Based Posting of Crowdsourced Tasks. 44-45 - Rohan J. McAdam:
Computing Through Movement. 46-47 - Eiji Miyashita, Tomomi Nonaka, Hajime Mizuyama:
A GWAP Approach for Collecting Qualitative Product Attributes and Perceptual Mapping. 48-49 - Atsuyuki Morishima, Sihem Amer-Yahia, Senjuti Basu Roy:
Crowd4U: An Initiative for Constructing an Open Academic Crowdsourcing Network. 50-51 - David Pellow, Maxine Eskénazi:
Tracking Human Process Using Crowd Collaboration to Enrich Data. 52-53 - Rohan Ramanath, Florian Schaub, Shomir Wilson, Fei Liu, Norman M. Sadeh, Noah A. Smith:
Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations. 54-55 - Florian Schaub, Travis D. Breaux, Norman M. Sadeh:
Crowdsourcing the Extraction of Data Practices from Privacy Policies. 56-57 - Adish Singla, Ian Lienert, Gábor Bartók, Andreas Krause:
Contextual Procurement in Online Crowdsourcing Markets. 58-59 - Matt Unrath, Zhifei Zhang, Alex K. Goins, Ryan Carpenter, Weng-Keen Wong, Ravi Balasubramanian:
Using Crowdsourcing to Generate Surrogate Training Data for Robotic Grasp Prediction. 60-61 - Rajan Vaish, Peter Organisciak, Kotaro Hara, Jeffrey P. Bigham, Haoqi Zhang:
Low Effort Crowdsourcing: Leveraging Peripheral Attention for Crowd Work. 62-63
Demonstration Abstracts
- Jon Chamberlain:
Groupsourcing: Problem Solving, Social Learning and Knowledge Discovery on Social Networks. 65-66 - Joel Chan, Steven Dang, Péter Krémer, Lucy Guo, Steven Dow:
IdeaGens: A Social Ideation System for Guided Crowd Brainstorming. 67-68 - Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta:
CrowdUtility: A Recommendation System for Crowdsourcing Platforms. 69-70 - Barbora Hladká, Jirka Hana, Ivana Luksová:
Crowdsourcing in Language Classes Can Help Natural Language Processing. 71-72 - Jérôme Waldispühl, Mathieu Blanchette:
Phylo and Open-Phylo: A Human-Computing Platform for Comparative Genomics. 73-74
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