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ORCID4th HCOMP 2016: Austin, Texas, USA
- Arpita Ghosh, Matthew Lease:
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2016, 30 October - 3 November, 2016, Austin, Texas, USA. AAAI Press 2016, ISBN 978-1-57735-774-2 - Ioannis Boutsis, Vana Kalogeraki, Dimitrios Gunopulos:
State Detection Using Adaptive Human Sensor Sampling. 2-11 - Yvonne Chen, Travis Mandel, Yun-En Liu, Zoran Popovic:
Crowdsourcing Accurate and Creative Word Problems and Hints. 12-21 - Luca de Alfaro, Vassilis Polychronopoulos, Neoklis Polyzotis:
Efficient Techniques for Crowdsourced Top-k Lists. 22-31 - Ryan Drapeau, Lydia B. Chilton, Jonathan Bragg, Daniel S. Weld:
MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy. 32-41 - Avshalom Elmalech, David Sarne, Esther David, Chen Hajaj:
Extending Workers' Attention Span Through Dummy Events. 42-51 - Shinsuke Goto, Toru Ishida, Donghui Lin:
Understanding Crowdsourcing Workflow: Modeling and Optimizing Iterative and Parallel Processes. 52-58 - Danna Gurari, Mehrnoosh Sameki, Margrit Betke:
Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System. 59-68 - Tad Hogg, Kristina Lerman:
Leveraging the Contributions of the Casual Majority to Identify Appealing Web Content. 69-78 - Ting-Hao Kenneth Huang, Walter S. Lasecki, Amos Azaria, Jeffrey P. Bigham:
"Is There Anything Else I Can Help You With?" Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent. 79-88 - Suyog Dutt Jain, Kristen Grauman:
Click Carving: Segmenting Objects in Video with Point Clicks. 89-98 - Yongsung Kim, Emily Harburg, Shana Azria, Aaron Shaw, Elizabeth Gerber, Darren Gergle, Haoqi Zhang:
Studying the Effects of Task Notification Policies on Participation and Outcomes in On-the-go Crowdsourcing. 99-108 - Doris Jung Lin Lee, Joanne Lo, Moonhyok Kim, Eric Paulos:
Crowdclass: Designing Classification-Based Citizen Science Learning Modules. 109-118 - Bao Sheng Loe, Francis Smart, Lenka Firtova, Corinna Brauner, Laura Lueneborg, David Stillwell:
Validating the Quality of Crowdsourced Psychometric Personality Test Items. 119-128 - Eddy Maddalena, Marco Basaldella, Dario De Nart, Dante Degl'Innocenti, Stefano Mizzaro, Gianluca Demartini
:
Crowdsourcing Relevance Assessments: The Unexpected Benefits of Limiting the Time to Judge. 129-138 - Tyler McDonnell, Matthew Lease, Mücahid Kutlu, Tamer Elsayed:
Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments. 139-148 - An Thanh Nguyen, Matthew Halpern, Byron C. Wallace, Matthew Lease:
Probabilistic Modeling for Crowdsourcing Partially-Subjective Ratings. 149-158 - Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann:
Learning and Feature Selection under Budget Constraints in Crowdsourcing. 159-168 - Prakhar Ojha, Partha P. Talukdar:
Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing. 169-178 - Goran Radanovic, Boi Faltings:
Learning to Scale Payments in Crowdsourcing with PropeRBoost. 179-188 - Denis Savenkov, Eugene Agichtein:
CRQA: Crowd-Powered Real-Time Automatic Question Answering System. 189-198 - Victor Shnayder, David C. Parkes:
Practical Peer Prediction for Peer Assessment. 199-208 - Yan Shvartzshnaider, Schrasing Tong, Thomas Wies, Paula Kift, Helen Nissenbaum, Lakshminarayanan Subramanian, Prateek Mittal:
Learning Privacy Expectations by Crowdsourcing Contextual Informational Norms. 209-218 - Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Much Ado About Time: Exhaustive Annotation of Temporal Data. 219-228 - Yuyin Sun, Adish Singla, Tori Qiao Yan, Andreas Krause, Dieter Fox:
Evaluating Task-Dependent Taxonomies for Navigation. 229-238 - Paul Upchurch, Daniel Sedra, Andrew Mullen, Haym Hirsh, Kavita Bala:
Interactive Consensus Agreement Games for Labeling Images. 239-248 - Jie Yang, Judith Redi, Gianluca Demartini, Alessandro Bozzon:
Modeling Task Complexity in Crowdsourcing. 249-258 - Ming Yin, Yiling Chen:
Predicting Crowd Work Quality under Monetary Interventions. 259-268
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