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10th HCOMP 2022 [virtual]
- Jane Hsu, Ming Yin:
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2022, virtual, November 6-10, 2022. AAAI Press 2022, ISBN 978-1-57735-878-7
Full Archival Papers
- Tahir Abbas, Ujwal Gadiraju:
Goal-Setting Behavior of Workers on Crowdsourcing Platforms: An Exploratory Study on MTurk and Prolific. 2-13 - Garrett Allen
, Andrea Hu, Ujwal Gadiraju:
Gesticulate for Health's Sake! Understanding the Use of Gestures as an Input Modality for Microtask Crowdsourcing. 14-26 - Shreyan Biswas
CHIME: Causal Human-in-the-Loop Model Explanations. 27-39 - Katherine M. Collins, Umang Bhatt, Adrian Weller:
Eliciting and Learning with Soft Labels from Every Annotator. 40-52 - Komal Dhull, Steven Jecmen, Pravesh Kothari, Nihar B. Shah:
Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise. 53-63 - 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. 64-73 - 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. 74-88 - Gaole He
It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. 89-101 - 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. 102-113 - Alborz Jelvani, Amélie Marian:
Identifying Possible Winners in Ranked Choice Voting Elections with Outstanding Ballots. 114-123 - Benjamin Kelly, Inwon Kang, Lirong Xia:
Crowdsourcing Perceptions of Gerrymandering. 124-132 - Yunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky
When More Data Lead Us Astray: Active Data Acquisition in the Presence of Label Bias. 133-146 - 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. 147-159 - V. K. Chaithanya Manam, Joseph Divyan Thomas, Alexander J. Quinn:
TaskLint: Automated Detection of Ambiguities in Task Instructions. 160-172 - Murtuza N. Shergadwala, Himabindu Lakkaraju, Krishnaram Kenthapadi:
A Human-Centric Perspective on Model Monitoring. 173-183 - Aayush Singh, Sebastian Wehkamp, Ujwal Gadiraju:
SignUpCrowd: Using Sign-Language as an Input Modality for Microtask Crowdsourcing. 184-194 - 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. 195-206 - Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley
Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented? 207-218 - 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. 219-230 - 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. 231-242
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