- Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai
:
Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint Analysis. HCOMP 2021: 84-96 - Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima:
Human+AI Crowd Task Assignment Considering Result Quality Requirements. HCOMP 2021: 97-107 - Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon:
Exploring the Music Perception Skills of Crowd Workers. HCOMP 2021: 108-119 - Wei Tang, Chien-Ju Ho:
On the Bayesian Rational Assumption in Information Design. HCOMP 2021: 120-130 - Chris Welty, Lora Aroyo, Flip Korn, Sara M. McCarthy, Shubin Zhao:
Rapid Instance-Level Knowledge Acquisition for Google Maps from Class-Level Common Sense. HCOMP 2021: 143-154 - Shota Yamanaka:
Utility of Crowdsourced User Experiments for Measuring the Central Tendency of User Performance to Evaluate Error-Rate Models on GUIs. HCOMP 2021: 155-165 - Romena Yasmin, Joshua Grassel, Md Mahmudulla Hassan, Olac Fuentes, Adolfo R. Escobedo:
Enhancing Image Classification Capabilities of Crowdsourcing-Based Methods through Expanded Input Elicitation. HCOMP 2021: 166-178 - Ece Kamar, Kurt Luther:
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, virtual, November 14-18, 2021. AAAI Press 2021, ISBN 978-1-57735-872-5 [contents] - 2020
- Anubrata Das, Brandon Dang, Matthew Lease:
Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content. HCOMP 2020: 33-42 - Tahir Abbas, Vassilis-Javed Khan, Ujwal Gadiraju, Panos Markopoulos:
Trainbot: A Conversational Interface to Train Crowd Workers for Delivering On-Demand Therapy. HCOMP 2020: 3-12 - Sohail Akhtar, Valerio Basile, Viviana Patti:
Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection. HCOMP 2020: 151-154 - Gerard van Alphen, Sihang Qiu, Alessandro Bozzon, Geert-Jan Houben:
Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms. HCOMP 2020: 141-149 - Abdullah B. Alshaibani, Sylvia T. Carrell, Li-Hsin Tseng, Jungmin Shin, Alexander J. Quinn:
Privacy-Preserving Face Redaction Using Crowdsourcing. HCOMP 2020: 13-22 - Yukino Baba, Jiyi Li, Hisashi Kashima:
CrowDEA: Multi-View Idea Prioritization with Crowds. HCOMP 2020: 23-32 - Xiaoni Duan, Chien-Ju Ho, Ming Yin:
Does Exposure to Diverse Perspectives Mitigate Biases in Crowdwork? An Explorative Study. HCOMP 2020: 155-158 - Alexander Erlei, Franck Awounang Nekdem, Lukas Meub, Avishek Anand, Ujwal Gadiraju:
Impact of Algorithmic Decision Making on Human Behavior: Evidence from Ultimatum Bargaining. HCOMP 2020: 43-52 - Claudia Flores-Saviaga, Yuwen Li, Benjamin V. Hanrahan, Jeffrey P. Bigham, Saiph Savage:
The Challenges of Crowd Workers in Rural and Urban America. HCOMP 2020: 159-162 - Danula Hettiachchi, Senuri Wijenayake, Simo Hosio, Vassilis Kostakos, Jorge Gonçalves:
How Context Influences Cross-Device Task Acceptance in Crowd Work. HCOMP 2020: 53-62 - Donald R. Honeycutt, Mahsan Nourani, Eric D. Ragan:
Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy. HCOMP 2020: 63-72 - Ryan Kemmer, Yeawon Yoo, Adolfo R. Escobedo, Ross Maciejewski:
Enhancing Collective Estimates by Aggregating Cardinal and Ordinal Inputs. HCOMP 2020: 73-82 - Masanari Kimura, Kei Wakabayashi, Atsuyuki Morishima:
Batch Prioritization of Data Labeling Tasks for Training Classifiers. HCOMP 2020: 163-167 - Qing Li, Sharon Lynn Chu, Nanjie Rao, Mahsan Nourani:
Understanding the Effects of Explanation Types and User Motivations on Recommender System Use. HCOMP 2020: 83-91 - Nir Machlev, David Sarne:
Predicting Crowdworkers' Performance as Human-Sensors for Robot Navigation. HCOMP 2020: 92-101 - Ido Nimni, David Sarne:
Effective Operator Summaries Extraction. HCOMP 2020: 102-111 - Mahsan Nourani, Joanie T. King, Eric D. Ragan:
The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems. HCOMP 2020: 112-121 - Amy Rechkemmer, Ming Yin:
Motivating Novice Crowd Workers through Goal Setting: An Investigation into the Effects on Complex Crowdsourcing Task Training. HCOMP 2020: 122-131 - Marta Sabou, Klemens Käsznar, Markus Zlabinger, Stefan Biffl, Dietmar Winkler:
Verifying Extended Entity Relationship Diagrams with Open Tasks. HCOMP 2020: 132-140 - Hua Shen, Ting-Hao (Kenneth) Huang:
How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels. HCOMP 2020: 168-172 - Alexandra Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio:
A Case for Soft Loss Functions. HCOMP 2020: 173-177 - Xiaotong (Tone) Xu, Judith E. Fan, Steven P. Dow:
Schema and Metadata Guide the Collective Generation of Relevant and Diverse Work. HCOMP 2020: 178-182
