| 2021 | Human+AI Crowd Task Assignment Considering Result Quality Requirements. | Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima |
| 2021 | Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint Analysis. | Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai |
| 2021 | Iterative Quality Control Strategies for Expert Medical Image Labeling. | Beverly Freeman, Naama Hammel, Sonia Phene, Abigail Huang, Rebecca Ackermann, Olga Kanzheleva, Miles Hutson, Caitlin Taggart, Quang Duong, Rory Sayres |
| 2021 | A Checklist to Combat Cognitive Biases in Crowdsourcing. | Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev |
| 2021 | From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence. | David Alvarez-Melis, Harmanpreet Kaur, Hal Daum III, Hanna M. Wallach, Jennifer Wortman Vaughan |
| 2021 | Pterodactyl: Two-Step Redaction of Images for Robust Face Deidentification. | Abdullah Alshaibani, Alexander J. Quinn |
| 2021 | Explaining Autonomous Decisions in Swarms of Human-on-the-Loop Small Unmanned Aerial Systems. | Ankit Agrawal, Jane Cleland-Huang |
| 2021 | Making Time Fly: Using Fillers to Improve Perceived Latency in Crowd-Powered Conversational Systems. | Tahir Abbas, Ujwal Gadiraju, Vassilis-Javed Khan, Panos Markopoulos |
| 2021 | StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing. | Yang Zhang, Lanyu Shang, Ruohan Zong, Zeng Wang, Ziyi Kou, Dong Wang |
| 2021 | Forecast Aggregation via Peer Prediction. | Juntao Wang, Yang Liu, Yiling Chen |
| 2021 | Iterative Human-in-the-Loop Discovery of Unknown Unknowns in Image Datasets. | Lei Han, Xiao Dong, Gianluca Demartini |
| 2020 | Schema and Metadata Guide the Collective Generation of Relevant and Diverse Work. | Xiaotong (Tone) Xu, Judith E. Fan, Steven P. Dow |
| 2020 | A Case for Soft Loss Functions. | Alexandra Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio |
| 2020 | How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels. | Hua Shen, Ting-Hao 'Kenneth' Huang |
| 2020 | Verifying Extended Entity Relationship Diagrams with Open Tasks. | Marta Sabou, Klemens Ksznar, Markus Zlabinger, Stefan Biffl, Dietmar Winkler |
| 2020 | Motivating Novice Crowd Workers through Goal Setting: An Investigation into the Effects on Complex Crowdsourcing Task Training. | Amy Rechkemmer, Ming Yin |
| 2020 | The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems. | Mahsan Nourani, Joanie T. King, Eric D. Ragan |
| 2020 | Effective Operator Summaries Extraction. | Ido Nimni, David Sarne |
| 2020 | Predicting Crowdworkers' Performance as Human-Sensors for Robot Navigation. | Nir Machlev, David Sarne |
| 2020 | Understanding the Effects of Explanation Types and User Motivations on Recommender System Use. | Qing Li, Sharon Lynn Chu, Nanjie Rao, Mahsan Nourani |
| 2020 | Batch Prioritization of Data Labeling Tasks for Training Classifiers. | Masanari Kimura, Kei Wakabayashi, Atsuyuki Morishima |
| 2020 | Enhancing Collective Estimates by Aggregating Cardinal and Ordinal Inputs. | Ryan Kemmer, Yeawon Yoo, Adolfo R. Escobedo, Ross Maciejewski |
| 2020 | Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy. | Donald R. Honeycutt, Mahsan Nourani, Eric D. Ragan |
| 2020 | How Context Influences Cross-Device Task Acceptance in Crowd Work. | Danula Hettiachchi, Senuri Wijenayake, Simo Hosio, Vassilis Kostakos, Jorge Gonalves |
| 2020 | The Challenges of Crowd Workers in Rural and Urban America. | Claudia Flores-Saviaga, Yuwen Li, Benjamin V. Hanrahan, Jeffrey P. Bigham, Saiph Savage |