HCOMP

Publications

2022

Katherine M. Collins, Umang Bhatt, Adrian Weller
Eliciting and Learning with Soft Labels from Every Annotator. HCOMP (2022)
Benjamin Kelly, Inwon Kang, Lirong Xia
Crowdsourcing Perceptions of Gerrymandering. HCOMP (2022)
Murtuza N. Shergadwala, Himabindu Lakkaraju, Krishnaram Kenthapadi
A Human-Centric Perspective on Model Monitoring. HCOMP (2022)
Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, R. Ravi
Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented? HCOMP (2022)
Alborz Jelvani, Amélie Marian
Identifying Possible Winners in Ranked Choice Voting Elections with Outstanding Ballots. HCOMP (2022)
Komal Dhull, Steven Jecmen, Pravesh Kothari, Nihar B. Shah
Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise. HCOMP (2022)
Yi Yang, Yueyuan Zheng, Didan Deng, Jindi Zhang, Yongxiang Huang, Yumeng Yang, Janet H. Hsiao, Caleb Chen Cao
HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations. HCOMP (2022)
Tahir Abbas, Ujwal Gadiraju
Goal-Setting Behavior of Workers on Crowdsourcing Platforms: An Exploratory Study on MTurk and Prolific. HCOMP (2022)
Yunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky
When More Data Lead Us Astray: Active Data Acquisition in the Presence of Label Bias. HCOMP (2022)
Nina Grgic-Hlaca, Claude Castelluccia, Krishna P. Gummadi
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making. HCOMP (2022)
Q. Vera Liao, Yunfeng Zhang, Ronny Luss, Finale Doshi-Velez, Amit Dhurandhar
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI. HCOMP (2022)
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2022, virtual, November 6-10, 2022. HCOMP (2022)
Garrett Allen, Andrea Hu, Ujwal Gadiraju
Gesticulate for Health's Sake! Understanding the Use of Gestures as an Input Modality for Microtask Crowdsourcing. HCOMP (2022)
Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. HCOMP (2022)
Aayush Singh, Sebastian Wehkamp, Ujwal Gadiraju
SignUpCrowd: Using Sign-Language as an Input Modality for Microtask Crowdsourcing. HCOMP (2022)
Shreyan Biswas, Lorenzo Corti, Stefan Buijsman, Jie Yang
CHIME: Causal Human-in-the-Loop Model Explanations. HCOMP (2022)
V. K. Chaithanya Manam, Joseph Divyan Thomas, Alexander J. Quinn
TaskLint: Automated Detection of Ambiguities in Task Instructions. HCOMP (2022)
Kutub Gandhi, Sofia Eleni Spatharioti, Scott Eustis, Sara Ann Wylie, Seth Cooper
Performance of Paid and Volunteer Image Labeling in Citizen Science - A Retrospective Analysis. HCOMP (2022)
Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju
It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. HCOMP (2022)
Lu Sun, Yuhan Liu, Grace Joseph, Zhou Yu, Haiyi Zhu, Steven P. Dow
Comparing Experts and Novices for AI Data Work: Insights on Allocating Human Intelligence to Design a Conversational Agent. HCOMP (2022)
Yaniv Yacoby, Ben Green, Christopher L. Griffin, Finale Doshi-Velez
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment. HCOMP (2022)

2021

2020