Abstract is missing.
- Trainbot: A Conversational Interface to Train Crowd Workers for Delivering On-Demand TherapyTahir Abbas, Vassilis-Javed Khan, Ujwal Gadiraju, Panos Markopoulos. 3-12 [doi]
- Privacy-Preserving Face Redaction Using CrowdsourcingAbdullah B. Alshaibani, Sylvia T. Carrell, Li-Hsin Tseng, Jungmin Shin, Alexander J. Quinn. 13-22 [doi]
- CrowDEA: Multi-View Idea Prioritization with CrowdsYukino Baba, Jiyi Li, Hisashi Kashima. 23-32 [doi]
- Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful ContentAnubrata Das 0001, Brandon Dang, Matthew Lease. 33-42 [doi]
- Impact of Algorithmic Decision Making on Human Behavior: Evidence from Ultimatum BargainingAlexander Erlei, Franck Awounang Nekdem, Lukas Meub, Avishek Anand, Ujwal Gadiraju. 43-52 [doi]
- How Context Influences Cross-Device Task Acceptance in Crowd WorkDanula Hettiachchi, Senuri Wijenayake, Simo Hosio, Vassilis Kostakos, Jorge Gonçalves 0001. 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. 63-72 [doi]
- Enhancing Collective Estimates by Aggregating Cardinal and Ordinal InputsRyan Kemmer, Yeawon Yoo, Adolfo R. Escobedo, Ross Maciejewski. 73-82 [doi]
- Understanding the Effects of Explanation Types and User Motivations on Recommender System UseQing Li, Sharon Lynn Chu, Nanjie Rao, Mahsan Nourani. 83-91 [doi]
- Predicting Crowdworkers' Performance as Human-Sensors for Robot NavigationNir Machlev, David Sarne. 92-101 [doi]
- Effective Operator Summaries ExtractionIdo Nimni, David Sarne. 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. 112-121 [doi]
- Motivating Novice Crowd Workers through Goal Setting: An Investigation into the Effects on Complex Crowdsourcing Task TrainingAmy Rechkemmer, Ming Yin. 122-131 [doi]
- Verifying Extended Entity Relationship Diagrams with Open TasksMarta Sabou, Klemens Käsznar, Markus Zlabinger, Stefan Biffl, Dietmar Winkler 0001. 132-140 [doi]
- Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality PlatformsGerard van Alphen, Sihang Qiu, Alessandro Bozzon, Geert-Jan Houben. 141-149 [doi]
- Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech DetectionSohail Akhtar, Valerio Basile, Viviana Patti. 151-154 [doi]
- Does Exposure to Diverse Perspectives Mitigate Biases in Crowdwork? An Explorative StudyXiaoni Duan, Chien-Ju Ho, Ming Yin. 155-158 [doi]
- The Challenges of Crowd Workers in Rural and Urban AmericaClaudia Flores-Saviaga, Yuwen Li, Benjamin V. Hanrahan, Jeffrey P. Bigham, Saiph Savage. 159-162 [doi]
- Batch Prioritization of Data Labeling Tasks for Training ClassifiersMasanari Kimura, Kei Wakabayashi, Atsuyuki Morishima. 163-167 [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. 168-172 [doi]
- A Case for Soft Loss FunctionsAlexandra Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio. 173-177 [doi]
- Schema and Metadata Guide the Collective Generation of Relevant and Diverse WorkXiaotong (Tone) Xu, Judith E. Fan, Steven P. Dow. 178-182 [doi]