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• "Is There Anything Else I Can Help You With?" Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent

  Ting-Hao Huang, Walter Lasecki, Amos Azaria, Jeffrey Bigham

  79-88

  2016-09-21

• CRQA: Crowd-Powered Real-Time Automatic Question Answering System

  Denis Savenkov, Eugene Agichtein

  189-198

  2016-09-21

• Much Ado About Time: Exhaustive Annotation of Temporal Data

  Gunnar Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta

  219-228

  2016-09-21

• Understanding Crowdsourcing Workflow: Modeling and Optimizing Iterative and Parallel Processes

  Shinsuke Goto, Toru Ishida, Donghui Lin

  52-58

  2016-09-21

• Click Carving: Segmenting Objects in Video with Point Clicks

  Suyog Jain, Kristen Grauman

  89-98

  2016-09-21

• Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments

  Tyler McDonnell, Matthew Lease, Mucahid Kutlu, Tamer Elsayed

  139-148

  2016-09-21

• Evaluating Task-Dependent Taxonomies for Navigation

  Yuyin Sun, Adish Singla, Tori Yan, Andreas Krause, Dieter Fox

  229-238

  2016-09-21

• Practical Peer Prediction for Peer Assessment

  Victor Shnayder, David Parkes

  199-208

  2016-09-21

• Crowdsourcing Relevance Assessments: The Unexpected Benefits of Limiting the Time to Judge

  Eddy Maddalena, Marco Basaldella, Dario De Nart, Dante Degl'Innocenti, Stefano Mizzaro, Gianluca Demartini

  129-138

  2016-09-21

• Modeling Task Complexity in Crowdsourcing

  Jie Yang, Judith Redi, Gianluca Demartini, Alessandro Bozzon

  249-258

  2016-09-21

• Predicting Crowd Work Quality under Monetary Interventions

  Ming Yin, Yiling Chen

  259-268

  2016-09-21

• Efficient Techniques for Crowdsourced Top-k Lists

  Luca de Alfaro, Vassilis Polychronopoulos, Neoklis Polyzotis

  22-31

  2016-09-21

• Validating the Quality of Crowdsourced Psychometric Personality Test Items

  Bao Loe, Francis Smart, Lenka Firtova, Corinna Brauner, Laura Lueneborg, David Stillwell

  119-128

  2016-09-21

• Learning to Scale Payments in Crowdsourcing with PropeRBoost

  Goran Radanovic, Boi Faltings

  179-188

  2016-09-21

• Learning and Feature Selection under Budget Constraints in Crowdsourcing

  Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann

  159-168

  2016-09-21

• Leveraging the Contributions of the Casual Majority to Identify Appealing Web Content

  Tad Hogg, Kristina Lerman

  69-78

  2016-09-21

• Extending Workers' Attention Span Through Dummy Events

  Avshalom Elmalech, David Sarne, Esther David, Chen Hajaj

  42-51

  2016-09-21

• Studying the Effects of Task Notification Policies on Participation and Outcomes in On-the-go Crowdsourcing

  Yongsung Kim, Emily Harburg, Shana Azria, Aaron Shaw, Elizabeth Gerber, Darren Gergle, Haoqi Zhang

  99-108

  2016-09-21

• Probabilistic Modeling for Crowdsourcing Partially-Subjective Ratings

  An Nguyen, Matthew Halpern, Byron Wallace, Matthew Lease

  149-158

  2016-09-21

• Crowdclass: Designing Classification-Based Citizen Science Learning Modules

  Doris Jung-Lin Lee, Joanne Lo, Moonhyok Kim, Eric Paulos

  109-118

  2016-09-21

• Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing

  Prakhar Ojha, Partha Talukdar

  169-178

  2016-09-21

• Learning Privacy Expectations by Crowdsourcing Contextual Informational Norms

  Yan Shvartzshnaider, Schrasing Tong, Thomas Wies, Paula Kift, Helen Nissenbaum, Lakshminarayanan Subramanian, Prateek Mittal

  209-218

  2016-09-21

• MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy

  Ryan Drapeau, Lydia Chilton, Jonathan Bragg, Daniel Weld

  32-41

  2016-09-21

• State Detection Using Adaptive Human Sensor Sampling

  Ioannis Boutsis, Vana Kalogeraki, Dimitrios Gunopulos

  2-11

  2016-09-21

• The Effect of Text Length in Crowdsourced Multiple Choice Questions

  Sarah Luger

  16-19

  2016-03-28