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ORCIDHCOMP 2015: San Diego, California, USA
- Elizabeth Gerber, Panos Ipeirotis:
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015, November 8-11, 2015, San Diego, California, USA. AAAI Press 2015, ISBN 978-1-57735-741-4
Full Papers
- Elena Agapie, Jaime Teevan, Andrés Monroy-Hernández
:
Crowdsourcing in the Field: A Case Study Using Local Crowds for Event Reporting. 2-11 - Sepehr Assadi, Justin Hsu, Shahin Jabbari:
Online Assignment of Heterogeneous Tasks in Crowdsourcing Markets. 12-21 - Arpita Biswas, Deepthi Chander, Koustuv Dasgupta, Koyel Mukherjee, Mridula Singh, Tridib Mukherjee:
PISCES: Participatory Incentive Strategies for Effective Community Engagement in Smart Cities. 22-31 - Manuel Blum, Santosh Srinivas Vempala:
Publishable Humanly Usable Secure Password Creation Schemas. 32-41 - Luca de Alfaro, Vassilis Polychronopoulos, Michael Shavlovsky:
Reliable Aggregation of Boolean Crowdsourced Tasks. 42-51 - Lili Dworkin, Michael J. Kearns:
From "In" to "Over": Behavioral Experiments on Whole-Network Computation. 52-61 - Ting-Hao (Kenneth) Huang, Walter S. Lasecki, Jeffrey P. Bigham:
Guardian: A Crowd-Powered Spoken Dialog System for Web APIs. 62-71 - Julie Hui, Amos Glenn, Rachel Jue, Elizabeth Gerber, Steven Dow:
Using Anonymity and Communal Efforts to Improve Quality of Crowdsourced Feedback. 72-82 - Hyun Joon Jung, Matthew Lease:
Modeling Temporal Crowd Work Quality with Limited Supervision. 83-91 - Ece Kamar, Ashish Kapoor, Eric Horvitz:
Identifying and Accounting for Task-Dependent Bias in Crowdsourcing. 92-101 - Markus Krause, René F. Kizilcec:
To Play or Not to Play: Interactions between Response Quality and Task Complexity in Games and Paid Crowdsourcing. 102-109 - Kurt Luther, Nathan Hahn, Steven P. Dow, Aniket Kittur:
Crowdlines: Supporting Synthesis of Diverse Information Sources through Crowdsourced Outlines. 110-119 - An Thanh Nguyen, Byron C. Wallace, Matthew Lease:
Combining Crowd and Expert Labels Using Decision Theoretic Active Learning. 120-129 - Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann:
Crowd Access Path Optimization: Diversity Matters. 130-139 - Alexandra Papoutsaki, Hua Guo, Danaë Metaxa-Kakavouli, Connor Gramazio, Jeff Rasley, Wenting Xie, Guan Wang, Jeff Huang:
Crowdsourcing from Scratch: A Pragmatic Experiment in Data Collection by Novice Requesters. 140-149 - Genevieve Patterson, Grant Van Horn, Serge J. Belongie, Pietro Perona, James Hays:
Tropel: Crowdsourcing Detectors with Minimal Training. 150-159 - Filipe Rodrigues, Bernardete Ribeiro, Mariana Lourenço, Francisco C. Pereira:
Learning Supervised Topic Models from Crowds. 160-168 - Elliot Salisbury, Sebastian Stein, Sarvapali D. Ramchurn:
CrowdAR: Augmenting Live Video with a Real-Time Crowd. 169-177 - Akash Das Sarma, Ayush Jain, Arnab Nandi, Aditya G. Parameswaran, Jennifer Widom:
Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms. 178-187 - Antti Ukkonen, Behrouz Derakhshan, Hannes Heikinheimo:
Crowdsourced Nonparametric Density Estimation Using Relative Distances. 188-197 - James Y. Zou, Kamalika Chaudhuri, Adam Tauman Kalai:
Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons. 198-205
Works in Progress Abstracts
- Masayuki Ashikawa, Takahiro Kawamura, Akihiko Ohsuga:
Proposal of Grade Training Method in Private Crowdsourcing System. 2-3 - Carlo Bernaschina, Ilio Catallo, Piero Fraternali, Davide Martinenghi:
On the Role of Task Design in Crowdsourcing Campaigns. 4-5 - Jie Gao, Hankz Hankui Zhuo, Subbarao Kambhampati, Lei Li:
Acquiring Planning Knowledge via Crowdsourcing. 6-7 - Alastair J. Gill, Francisco Iacobelli:
Understanding Socially Constructed Concepts Using Blogs Data. 8-9 - Mayumi Hadano, Makoto Nakatsuji, Hiroyuki Toda, Yoshimasa Koike:
Assigning Tasks to Workers by Referring to Their Schedules in Mobile Crowdsourcing. 10-11 - Heeju Hwang:
Moral Reminder as a Way to Improve Worker Performance on Amazon Mechanical Turk. 12-13 - Yongsung Kim, Emily Harburg, Shana Azria, Elizabeth Gerber, Darren Gergle, Haoqi Zhang:
Enabling Physical Crowdsourcing On-the-Go with Context-Sensitive Notifications. 14-15 - Pavel Kucherbaev, Florian Daniel, Stefano Tranquillini, Maurizio Marchese:
Modeling and Exploration of Crowdsourcing Micro-Tasks Execution. 16-17 - Fatma Layas, Helen Petrie, Christopher Power:
A Cross-Cultural Study of Motivations to Participate in a Crowdsourcing Project to Support People with Disabilities. 18-19 - Hongwei Li, Qiang Liu:
Cheaper and Better: Selecting Good Workers for Crowdsourcing. 20-21 - David Merritt, Mark S. Ackerman, Mark W. Newman, Pei-Yao Hung, Jacob Mandel, Erica Ackerman:
Using Expertise for Crowd-Sourcing. 22-23 - Anirban Mondal, Gurulingesh Raravi, Amandeep Chugh, Tridib Mukherjee:
LoRUS: A Mobile Crowdsourcing System for Efficiently Retrieving the Top-k Relevant Users in a Spatial Window. 24-25 - Ellie Pavlick, Chris Callison-Burch:
Extracting Structured Information via Automatic + Human Computation. 26-27 - Yuko Sakurai, Satoshi Oyama, Masato Shinoda, Makoto Yokoo:
Flexible Reward Plans to Elicit Truthful Predictions in Crowdsourcing. 28-29 - Mehrnoosh Sameki, Danna Gurari, Margrit Betke:
Predicting Quality of Crowdsourced Image Segmentations from Crowd Behavior. 30-31 - Nobuyuki Shimizu, Atsuyuki Morishima, Ryota Hayashi:
A Crowdsourcing Method for Obtaining Rephrased Questions. 32-33 - Adish Singla, Eric Horvitz, Pushmeet Kohli, Andreas Krause:
Learning to Hire Teams. 34-35 - David Sirkin, Kerstin Fischer, Lars Christian Jensen, Wendy Ju:
How Effective an Odd Message Can Be: Appropriate and Inappropriate Topics in Speech-Based Vehicle Interfaces. 36-37 - Barry Smyth, Rachael Rafter, Sam Banks:
A Game with a Purpose for Recommender Systems. 38-39 - Beatrice Valeri, Shady Elbassuoni, Sihem Amer-Yahia:
Acquiring Reliable Ratings from the Crowd. 40-41 - Ketan Madhavrao Vazirabadkar, Siddhant Surendra Gadre, Rajeev Sebastian, Nikhil Dwivedi:
Crowdsourcing Based on GPS. 42-43 - Matteo Venanzi, Oliver Parson, Alex Rogers, Nick R. Jennings:
The ActiveCrowdToolkit: An Open-Source Tool for Benchmarking Active Learning Algorithms for Crowdsourcing Research. 44-45 - Yu Wu, Jessica Kropczynski, Raquel Prates, John M. Carroll:
The Rise of Curation on GitHub. 46-47
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