- Lora Aroyo, Elena Simperl:
Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2020, Hilversum, The Netherlands (virtual), October 25-29, 2020. AAAI Press 2020, ISBN 978-1-57735-848-0 [contents] - 2019
- Nikhil Garg, Lodewijk Gelauff, Sukolsak Sakshuwong, Ashish Goel:
Who Is in Your Top Three? Optimizing Learning in Elections with Many Candidates. HCOMP 2019: 22-31 - Tong Liu, Akash Venkatachalam, Pratik Sanjay Bongale, Christopher M. Homan:
Learning to Predict Population-Level Label Distributions. HCOMP 2019: 68-76 - Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz:
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. HCOMP 2019: 2-11 - Shayan Doroudi, Ece Kamar, Emma Brunskill:
Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere. HCOMP 2019: 12-21 - Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin:
Interpretable Image Recognition with Hierarchical Prototypes. HCOMP 2019: 32-40 - Shelby Heinecke
, Lev Reyzin:
Crowdsourced PAC Learning under Classification Noise. HCOMP 2019: 41-49 - Sowmya Karunakaran, Rashmi Ramakrishan:
Testing Stylistic Interventions to Reduce Emotional Impact of Content Moderation Workers. HCOMP 2019: 50-58 - Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Samuel J. Gershman, Finale Doshi-Velez:
Human Evaluation of Models Built for Interpretability. HCOMP 2019: 59-67 - Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio:
Progression in a Language Annotation Game with a Purpose. HCOMP 2019: 77-85 - Vikram Mohanty, Kareem Abdol-Hamid, Courtney Ebersohl, Kurt Luther:
Second Opinion: Supporting Last-Mile Person Identification with Crowdsourcing and Face Recognition. HCOMP 2019: 86-96 - Mahsan Nourani, Samia Kabir, Sina Mohseni, Eric D. Ragan:
The Effects of Meaningful and Meaningless Explanations on Trust and Perceived System Accuracy in Intelligent Systems. HCOMP 2019: 97-105 - Jahna Otterbacher, Pinar Barlas, Styliani Kleanthous, Kyriakos Kyriakou:
How Do We Talk about Other People? Group (Un)Fairness in Natural Language Image Descriptions. HCOMP 2019: 106-114 - Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael S. Bernstein:
AI-Based Request Augmentation to Increase Crowdsourcing Participation. HCOMP 2019: 115-124 - Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar:
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. HCOMP 2019: 125-134 - Rehab K. Qarout, Alessandro Checco, Gianluca Demartini, Kalina Bontcheva:
Platform-Related Factors in Repeatability and Reproducibility of Crowdsourcing Tasks. HCOMP 2019: 135-143 - Jorge Ramírez, Marcos Báez, Fabio Casati, Boualem Benatallah:
Understanding the Impact of Text Highlighting in Crowdsourcing Tasks. HCOMP 2019: 144-152 - Arijit Ray, Yi Yao, Rakesh Kumar, Ajay Divakaran, Giedrius Burachas:
Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval. HCOMP 2019: 153-161 - Yan Shvartzshnaider, Noah J. Apthorpe, Nick Feamster, Helen Nissenbaum:
Going against the (Appropriate) Flow: A Contextual Integrity Approach to Privacy Policy Analysis. HCOMP 2019: 162-170 - Camelia Simoiu, Chiraag Sumanth, Alok Shankar Mysore, Sharad Goel:
Studying the "Wisdom of Crowds" at Scale. HCOMP 2019: 171-179 - Colin Vandenhof:
A Hybrid Approach to Identifying Unknown Unknowns of Predictive Models. HCOMP 2019: 180-187 - Andrew T. Walter, Benjamin Boskin, Seth Cooper, Panagiotis Manolios:
Gamification of Loop-Invariant Discovery from Code. HCOMP 2019: 188-196 - Mark E. Whiting, Grant Hugh, Michael S. Bernstein:
Fair Work: Crowd Work Minimum Wage with One Line of Code. HCOMP 2019: 197-206 - Edith Law, Jennifer Wortman Vaughan:
Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2019, Stevenson, WA, USA, October 28-30, 2019. AAAI Press 2019, ISBN 978-1-57735-820-6 [contents] - 2018
- Jie Yang, Carlo van der Valk, Tobias Hoßfeld, Judith Redi, Alessandro Bozzon:
How Do Crowdworker Communities and Microtask Markets Influence Each Other? A Data-Driven Study on Amazon Mechanical Turk. HCOMP 2018: 193-202 - Avishek Anand, Kilian Bizer, Alexander Erlei, Ujwal Gadiraju, Christian Heinze, Lukas Meub, Wolfgang Nejdl, Björn Steinrötter:
Effects of Algorithmic Decision-Making and Interpretability on Human Behavior: Experiments using Crowdsourcing. HCOMP (WIP&Demo) 2018 - Alessandro Checco, Jo Bates, Gianluca Demartini:
All That Glitters Is Gold - An Attack Scheme on Gold Questions in Crowdsourcing. HCOMP 2018: 2-11 - Anca Dumitrache, Lora Aroyo, Chris Welty:
Capturing Ambiguity in Crowdsourcing Frame Disambiguation. HCOMP 2018: 12-20 - Flemming Binderup Gammelgaard, Claus Bossen:
Navigating Uncertainty in Equity Crowdfunding. HCOMP (WIP&Demo) 2018 - Michael Giancola, Randy C. Paffenroth, Jacob Whitehill:
Permutation-Invariant Consensus over Crowdsourced Labels. HCOMP 2018: 21-30
