HCOMP B

23 papers

YearTitle / Authors
2020A Case for Soft Loss Functions.
Alexandra Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio
2020Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms.
Gerard van Alphen, Sihang Qiu, Alessandro Bozzon, Geert-Jan Houben
2020Batch Prioritization of Data Labeling Tasks for Training Classifiers.
Masanari Kimura, Kei Wakabayashi, Atsuyuki Morishima
2020CrowDEA: Multi-View Idea Prioritization with Crowds.
Yukino Baba, Jiyi Li, Hisashi Kashima
2020Does Exposure to Diverse Perspectives Mitigate Biases in Crowdwork? An Explorative Study.
Xiaoni Duan, Chien-Ju Ho, Ming Yin
2020Effective Operator Summaries Extraction.
Ido Nimni, David Sarne
2020Enhancing Collective Estimates by Aggregating Cardinal and Ordinal Inputs.
Ryan Kemmer, Yeawon Yoo, Adolfo R. Escobedo, Ross Maciejewski
2020Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content.
Anubrata Das, Brandon Dang, Matthew Lease
2020How Context Influences Cross-Device Task Acceptance in Crowd Work.
Danula Hettiachchi, Senuri Wijenayake, Simo Hosio, Vassilis Kostakos, Jorge Gonçalves
2020How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels.
Hua Shen, Ting-Hao (Kenneth) Huang
2020Impact of Algorithmic Decision Making on Human Behavior: Evidence from Ultimatum Bargaining.
Alexander Erlei, Franck Awounang Nekdem, Lukas Meub, Avishek Anand, Ujwal Gadiraju
2020Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection.
Sohail Akhtar, Valerio Basile, Viviana Patti
2020Motivating Novice Crowd Workers through Goal Setting: An Investigation into the Effects on Complex Crowdsourcing Task Training.
Amy Rechkemmer, Ming Yin
2020Predicting Crowdworkers' Performance as Human-Sensors for Robot Navigation.
Nir Machlev, David Sarne
2020Privacy-Preserving Face Redaction Using Crowdsourcing.
Abdullah B. Alshaibani, Sylvia T. Carrell, Li-Hsin Tseng, Jungmin Shin, Alexander J. Quinn
2020Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2020, Hilversum, The Netherlands (virtual), October 25-29, 2020.
Lora Aroyo, Elena Simperl
2020Schema and Metadata Guide the Collective Generation of Relevant and Diverse Work.
Xiaotong (Tone) Xu, Judith E. Fan, Steven P. Dow
2020Soliciting 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
2020The Challenges of Crowd Workers in Rural and Urban America.
Claudia Flores-Saviaga, Yuwen Li, Benjamin V. Hanrahan, Jeffrey P. Bigham, Saiph Savage
2020The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems.
Mahsan Nourani, Joanie T. King, Eric D. Ragan
2020Trainbot: A Conversational Interface to Train Crowd Workers for Delivering On-Demand Therapy.
Tahir Abbas, Vassilis-Javed Khan, Ujwal Gadiraju, Panos Markopoulos
2020Understanding the Effects of Explanation Types and User Motivations on Recommender System Use.
Qing Li, Sharon Lynn Chu, Nanjie Rao, Mahsan Nourani
2020Verifying Extended Entity Relationship Diagrams with Open Tasks.
Marta Sabou, Klemens Käsznar, Markus Zlabinger, Stefan Biffl, Dietmar Winkler