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2022

Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented?Jingyan Wang 0001, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, R. Ravi 0001. hcomp 2022: 207-218 [doi]

Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2022, virtual, November 6-10, 2022Jane Hsu 0001, Ming Yin, editors, AAAI Press, 2022. [doi]

Goal-Setting Behavior of Workers on Crowdsourcing Platforms: An Exploratory Study on MTurk and ProlificTahir Abbas, Ujwal Gadiraju. hcomp 2022: 2-13 [doi]

Gesticulate for Health's Sake! Understanding the Use of Gestures as an Input Modality for Microtask CrowdsourcingGarrett Allen, Andrea Hu, Ujwal Gadiraju. hcomp 2022: 14-26 [doi]

CHIME: Causal Human-in-the-Loop Model ExplanationsShreyan Biswas, Lorenzo Corti, Stefan Buijsman, Jie Yang 0028. hcomp 2022: 27-39 [doi]

Eliciting and Learning with Soft Labels from Every AnnotatorKatherine M. Collins, Umang Bhatt, Adrian Weller. hcomp 2022: 40-52 [doi]

Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' ExpertiseKomal Dhull, Steven Jecmen, Pravesh Kothari, Nihar B. Shah. hcomp 2022: 53-63 [doi]

Performance of Paid and Volunteer Image Labeling in Citizen Science - A Retrospective AnalysisKutub Gandhi, Sofia Eleni Spatharioti, Scott Eustis, Sara Ann Wylie, Seth Cooper. hcomp 2022: 64-73 [doi]

Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-MakingNina Grgic-Hlaca, Claude Castelluccia, Krishna P. Gummadi. hcomp 2022: 74-88 [doi]

It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense KnowledgeGaole He, Agathe Balayn, Stefan Buijsman, Jie Yang 0028, Ujwal Gadiraju. hcomp 2022: 89-101 [doi]

Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment DesignSteven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah. hcomp 2022: 102-113 [doi]

Identifying Possible Winners in Ranked Choice Voting Elections with Outstanding BallotsAlborz Jelvani, Amélie Marian. hcomp 2022: 114-123 [doi]

Crowdsourcing Perceptions of GerrymanderingBenjamin Kelly, Inwon Kang, Lirong Xia. hcomp 2022: 124-132 [doi]

When More Data Lead Us Astray: Active Data Acquisition in the Presence of Label BiasYunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky. hcomp 2022: 133-146 [doi]

Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AIQ. Vera Liao, Yunfeng Zhang, Ronny Luss, Finale Doshi-Velez, Amit Dhurandhar. hcomp 2022: 147-159 [doi]

TaskLint: Automated Detection of Ambiguities in Task InstructionsV. K. Chaithanya Manam, Joseph Divyan Thomas, Alexander J. Quinn. hcomp 2022: 160-172 [doi]

A Human-Centric Perspective on Model MonitoringMurtuza N. Shergadwala, Himabindu Lakkaraju, Krishnaram Kenthapadi. hcomp 2022: 173-183 [doi]

SignUpCrowd: Using Sign-Language as an Input Modality for Microtask CrowdsourcingAayush Singh, Sebastian Wehkamp, Ujwal Gadiraju. hcomp 2022: 184-194 [doi]

Comparing Experts and Novices for AI Data Work: Insights on Allocating Human Intelligence to Design a Conversational AgentLu Sun, Yuhan Liu, Grace Joseph, Zhou Yu, Haiyi Zhu, Steven P. Dow. hcomp 2022: 195-206 [doi]

"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety AssessmentYaniv Yacoby, Ben Green 0004, Christopher L. Griffin, Finale Doshi-Velez. hcomp 2022: 219-230 [doi]

HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model ExplanationsYi Yang, Yueyuan Zheng, Didan Deng, Jindi Zhang, Yongxiang Huang, Yumeng Yang, Janet H. Hsiao, Caleb Chen Cao. hcomp 2022: 231-242 [doi]

2021

Iterative Human-in-the-Loop Discovery of Unknown Unknowns in Image DatasetsLei Han 0003, Xiao Dong, Gianluca Demartini. hcomp 2021: 72-83 [doi]

Forecast Aggregation via Peer PredictionJuntao Wang 0004, Yang Liu 0018, Yiling Chen 0001. hcomp 2021: 131-142 [doi]

StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social SensingYang Zhang 0031, Lanyu Shang, Ruohan Zong, Zeng Wang, Ziyi Kou, Dong Wang 0002. hcomp 2021: 179-190 [doi]

Making Time Fly: Using Fillers to Improve Perceived Latency in Crowd-Powered Conversational SystemsTahir Abbas, Ujwal Gadiraju, Vassilis-Javed Khan, Panos Markopoulos 0001. hcomp 2021: 2-14 [doi]

Explaining Autonomous Decisions in Swarms of Human-on-the-Loop Small Unmanned Aerial SystemsAnkit Agrawal, Jane Cleland-Huang. hcomp 2021: 15-26 [doi]

Pterodactyl: Two-Step Redaction of Images for Robust Face DeidentificationAbdullah Alshaibani, Alexander J. Quinn. hcomp 2021: 27-34 [doi]

From Human Explanation to Model Interpretability: A Framework Based on Weight of EvidenceDavid Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan. hcomp 2021: 35-47 [doi]

A Checklist to Combat Cognitive Biases in CrowdsourcingTim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev. hcomp 2021: 48-59 [doi]

Iterative Quality Control Strategies for Expert Medical Image LabelingBeverly Freeman, Naama Hammel, Sonia Phene, Abigail Huang, Rebecca Ackermann, Olga Kanzheleva, Miles Hutson, Caitlin Taggart, Quang Duong, Rory Sayres. hcomp 2021: 60-71 [doi]

Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint AnalysisLujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai. hcomp 2021: 84-96 [doi]

Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, virtual, November 14-18, 2021Ece Kamar, Kurt Luther, editors, AAAI Press, 2021. [doi]

Human+AI Crowd Task Assignment Considering Result Quality RequirementsMasaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima. hcomp 2021: 97-107 [doi]

Exploring the Music Perception Skills of Crowd WorkersIoannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang 0028, Ujwal Gadiraju, Alessandro Bozzon. hcomp 2021: 108-119 [doi]

On the Bayesian Rational Assumption in Information DesignWei Tang, Chien-Ju Ho. hcomp 2021: 120-130 [doi]

Rapid Instance-Level Knowledge Acquisition for Google Maps from Class-Level Common SenseChris Welty, Lora Aroyo, Flip Korn, Sara M. McCarthy, Shubin Zhao. hcomp 2021: 143-154 [doi]

Utility of Crowdsourced User Experiments for Measuring the Central Tendency of User Performance to Evaluate Error-Rate Models on GUIsShota Yamanaka. hcomp 2021: 155-165 [doi]

Enhancing Image Classification Capabilities of Crowdsourcing-Based Methods through Expanded Input ElicitationRomena Yasmin, Joshua Grassel, Md Mahmudulla Hassan, Olac Fuentes, Adolfo R. Escobedo. hcomp 2021: 166-178 [doi]

2020

Schema and Metadata Guide the Collective Generation of Relevant and Diverse WorkXiaotong (Tone) Xu, Judith E. Fan, Steven P. Dow. hcomp 2020: 178-182 [doi]

Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful ContentAnubrata Das 0001, Brandon Dang, Matthew Lease. hcomp 2020: 33-42 [doi]

Trainbot: A Conversational Interface to Train Crowd Workers for Delivering On-Demand TherapyTahir Abbas, Vassilis-Javed Khan, Ujwal Gadiraju, Panos Markopoulos. hcomp 2020: 3-12 [doi]

Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech DetectionSohail Akhtar, Valerio Basile, Viviana Patti. hcomp 2020: 151-154 [doi]

Privacy-Preserving Face Redaction Using CrowdsourcingAbdullah B. Alshaibani, Sylvia T. Carrell, Li-Hsin Tseng, Jungmin Shin, Alexander J. Quinn. hcomp 2020: 13-22 [doi]

Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2020, Hilversum, The Netherlands (virtual), October 25-29, 2020Lora Aroyo, Elena Simperl, editors, AAAI Press, 2020. [doi]

CrowDEA: Multi-View Idea Prioritization with CrowdsYukino Baba, Jiyi Li, Hisashi Kashima. hcomp 2020: 23-32 [doi]

Does Exposure to Diverse Perspectives Mitigate Biases in Crowdwork? An Explorative StudyXiaoni Duan, Chien-Ju Ho, Ming Yin. hcomp 2020: 155-158 [doi]

Impact of Algorithmic Decision Making on Human Behavior: Evidence from Ultimatum BargainingAlexander Erlei, Franck Awounang Nekdem, Lukas Meub, Avishek Anand, Ujwal Gadiraju. hcomp 2020: 43-52 [doi]

The Challenges of Crowd Workers in Rural and Urban AmericaClaudia Flores-Saviaga, Yuwen Li, Benjamin V. Hanrahan, Jeffrey P. Bigham, Saiph Savage. hcomp 2020: 159-162 [doi]

How Context Influences Cross-Device Task Acceptance in Crowd WorkDanula Hettiachchi, Senuri Wijenayake, Simo Hosio, Vassilis Kostakos, Jorge Gonçalves 0001. hcomp 2020: 53-62 [doi]

Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model AccuracyDonald R. Honeycutt, Mahsan Nourani, Eric D. Ragan. hcomp 2020: 63-72 [doi]

Enhancing Collective Estimates by Aggregating Cardinal and Ordinal InputsRyan Kemmer, Yeawon Yoo, Adolfo R. Escobedo, Ross Maciejewski. hcomp 2020: 73-82 [doi]

Batch Prioritization of Data Labeling Tasks for Training ClassifiersMasanari Kimura, Kei Wakabayashi, Atsuyuki Morishima. hcomp 2020: 163-167 [doi]

Understanding the Effects of Explanation Types and User Motivations on Recommender System UseQing Li, Sharon Lynn Chu, Nanjie Rao, Mahsan Nourani. hcomp 2020: 83-91 [doi]

Predicting Crowdworkers' Performance as Human-Sensors for Robot NavigationNir Machlev, David Sarne. hcomp 2020: 92-101 [doi]

Effective Operator Summaries ExtractionIdo Nimni, David Sarne. hcomp 2020: 102-111 [doi]

The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent SystemsMahsan Nourani, Joanie T. King, Eric D. Ragan. hcomp 2020: 112-121 [doi]

Motivating Novice Crowd Workers through Goal Setting: An Investigation into the Effects on Complex Crowdsourcing Task TrainingAmy Rechkemmer, Ming Yin. hcomp 2020: 122-131 [doi]

Verifying Extended Entity Relationship Diagrams with Open TasksMarta Sabou, Klemens Käsznar, Markus Zlabinger, Stefan Biffl, Dietmar Winkler 0001. hcomp 2020: 132-140 [doi]

How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted LabelsHua Shen, Ting-Hao (Kenneth) Huang. hcomp 2020: 168-172 [doi]

A Case for Soft Loss FunctionsAlexandra Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio. hcomp 2020: 173-177 [doi]

Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality PlatformsGerard van Alphen, Sihang Qiu, Alessandro Bozzon, Geert-Jan Houben. hcomp 2020: 141-149 [doi]

2019

Who Is in Your Top Three? Optimizing Learning in Elections with Many CandidatesNikhil Garg 0001, Lodewijk Gelauff, Sukolsak Sakshuwong, Ashish Goel. hcomp 2019: 22-31 [doi]

Learning to Predict Population-Level Label DistributionsTong Liu 0010, Akash Venkatachalam, Pratik Sanjay Bongale, Christopher M. Homan. hcomp 2019: 68-76 [doi]

Beyond Accuracy: The Role of Mental Models in Human-AI Team PerformanceGagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz. hcomp 2019: 2-11 [doi]

Not Everyone Writes Good Examples but Good Examples Can Come from AnywhereShayan Doroudi, Ece Kamar, Emma Brunskill. hcomp 2019: 12-21 [doi]

Interpretable Image Recognition with Hierarchical PrototypesPeter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin. hcomp 2019: 32-40 [doi]

Crowdsourced PAC Learning under Classification NoiseShelby Heinecke, Lev Reyzin. hcomp 2019: 41-49 [doi]

Testing Stylistic Interventions to Reduce Emotional Impact of Content Moderation WorkersSowmya Karunakaran, Rashmi Ramakrishan. hcomp 2019: 50-58 [doi]

Human Evaluation of Models Built for InterpretabilityIsaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Samuel J. Gershman, Finale Doshi-Velez. hcomp 2019: 59-67 [doi]

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2019, Stevenson, WA, USA, October 28-30, 2019Edith Law, Jennifer Wortman Vaughan, editors, AAAI Press, 2019. [doi]

Progression in a Language Annotation Game with a PurposeChris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio. hcomp 2019: 77-85 [doi]

Second Opinion: Supporting Last-Mile Person Identification with Crowdsourcing and Face RecognitionVikram Mohanty, Kareem Abdol-Hamid, Courtney Ebersohl, Kurt Luther. hcomp 2019: 86-96 [doi]

The Effects of Meaningful and Meaningless Explanations on Trust and Perceived System Accuracy in Intelligent SystemsMahsan Nourani, Samia Kabir, Sina Mohseni, Eric D. Ragan. hcomp 2019: 97-105 [doi]

How Do We Talk about Other People? Group (Un)Fairness in Natural Language Image DescriptionsJahna Otterbacher, Pinar Barlas, Styliani Kleanthous, Kyriakos Kyriakou. hcomp 2019: 106-114 [doi]

AI-Based Request Augmentation to Increase Crowdsourcing ParticipationJunwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei 0001, Michael S. Bernstein. hcomp 2019: 115-124 [doi]

What You See Is What You Get? The Impact of Representation Criteria on Human Bias in HiringAndi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar. hcomp 2019: 125-134 [doi]

Platform-Related Factors in Repeatability and Reproducibility of Crowdsourcing TasksRehab K. Qarout, Alessandro Checco, Gianluca Demartini, Kalina Bontcheva. hcomp 2019: 135-143 [doi]

Understanding the Impact of Text Highlighting in Crowdsourcing TasksJorge Ramírez, Marcos Báez, Fabio Casati, Boualem Benatallah. hcomp 2019: 144-152 [doi]

Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image RetrievalArijit Ray, Yi Yao, Rakesh Kumar 0001, Ajay Divakaran, Giedrius Burachas. hcomp 2019: 153-161 [doi]

Going against the (Appropriate) Flow: A Contextual Integrity Approach to Privacy Policy AnalysisYan Shvartzshnaider, Noah J. Apthorpe, Nick Feamster, Helen Nissenbaum. hcomp 2019: 162-170 [doi]

Studying the "Wisdom of Crowds" at ScaleCamelia Simoiu, Chiraag Sumanth, Alok Shankar Mysore, Sharad Goel. hcomp 2019: 171-179 [doi]

A Hybrid Approach to Identifying Unknown Unknowns of Predictive ModelsColin Vandenhof. hcomp 2019: 180-187 [doi]

Gamification of Loop-Invariant Discovery from CodeAndrew T. Walter, Benjamin Boskin, Seth Cooper, Panagiotis Manolios. hcomp 2019: 188-196 [doi]

Fair Work: Crowd Work Minimum Wage with One Line of CodeMark E. Whiting, Grant Hugh, Michael S. Bernstein. hcomp 2019: 197-206 [doi]

2018

Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis (short paper)Agathe Balayn, Panagiotis Mavridis, Alessandro Bozzon, Benjamin Timmermans, Zoltán Szlávik. hcomp 2018: 67-71 [doi]

Proceedings of the HCOMP 2018 Works in Progress and Demonstration Papers Track of the sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), Zurich, Switzerland, July 5-8, 2018Alessandro Bozzon, Matteo Venanzi, editors, Volume 2173 of CEUR Workshop Proceedings, CEUR-WS.org, 2018. [doi]

EURECA: Enhanced Understanding of Real Environments via Crowd AssistanceSai R. Gouravajhala, Jinyeong Yim, Karthik Desingh, Yanda Huang, Odest Chadwicke Jenkins, Walter S. Lasecki. hcomp 2018: 31-40 [doi]

WingIt: Efficient Refinement of Unclear Task InstructionsV. K. Chaithanya Manam, Alexander J. Quinn. hcomp 2018: 108-116 [doi]

Collective Story Writing through Linking ImagesAuroshikha Mandal, Mehul Agarwal, Malay Bhattacharyya. hcomp 2018: [doi]

Crowdsourcing Real-Time Viral Disease and Pest Information: A Case of Nation-Wide Cassava Disease Surveillance in a Developing CountryDaniel Mutembesa, Christopher Omongo, Ernest Mwebaze. hcomp 2018: 117-125 [doi]

A Case for a Range of Acceptable AnnotationsJennimaria Palomaki, Olivia Rhinehart, Michael Tseng. hcomp 2018: 19-31 [doi]

Imitation Learning on Atari using Non-Expert Human AnnotationsAmeya Panse, Tushar Madheshia, Anand Sriraman, Shirish Karande. hcomp 2018: [doi]

Moving Disambiguation of Regulations from the Cathedral to the BazaarManasi Patwardhan, Richa Sharma, Abhishek Sainani, Shirish Karande, Smita Ghaisas. hcomp 2018: [doi]

Investigating Stability and Reliability of Crowdsourcing Output (short paper)Rehab Kamal Qarout, Alessandro Checco, Kalina Bontcheva. hcomp 2018: 83-87 [doi]

On Localizing Keywords in Continuous Speech using Mismatched CrowdPurushotam G. Radadia, Tushar Madhesia, Kanika Kalra, Anand Sriraman, Manasi Patwardhan, Shirish Karande. hcomp 2018: [doi]

Crowd-Sourced Knowledge Graph Extension: A Belief Revision Based ApproachArtem Revenko, Marta Sabou, Albin Ahmeti, Martin Schauer. hcomp 2018: [doi]

Crowdsourced Measure of News Articles Bias: Assessing Contributors' ReliabilityEmmanuel Vincent, Maria Mestre. hcomp 2018: 1-10 [doi]

Bounding Ambiguity: Experiences with an Image Annotation SystemMargaret Warren, Patrick J. Hayes. hcomp 2018: 41-54 [doi]

Visual Question Answer DiversityChun-Ju Yang, Kristen Grauman, Danna Gurari. hcomp 2018: 184-192 [doi]

Towards Quantifying Behaviour in Social Crowdsourcing CommunitiesKhobaib Zaamout, Ken Barker. hcomp 2018: 203 [doi]

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