- Ting-Hao K. Huang, Amos Azaria, Oscar J. Romero, Jeffrey P. Bigham. InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd. Hum. Comput., 6:113-146, 2019.
- Ginger Tsueng, Arun Kumar, Max Nanis, Andrew I. Su. Aligning Needs: Integrating Citizen Science Efforts into Schools Through Service Requirements. Hum. Comput., 6:56-82, 2019.
- Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham. Predicting the Working Time of Microtasks Based on Workers' Perception of Prediction Errors. Hum. Comput., 6:192-219, 2019.
- Xipei Liu, James P. Bagrow. Autocompletion interfaces make crowd workers slower, but their use promotes response diversity. Hum. Comput., 6:42-55, 2019.
- Chris Dijkshoorn, Victor de Boer, Lora Aroyo, Guus Schreiber. Accurator: Nichesourcing for Cultural Heritage. Hum. Comput., 6:12-41, 2019.
- Nai-Ching Wang, David Hicks, Paul Quigley, Kurt Luther. Read-Agree-Predict: A Crowdsourced Approach to Discovering Relevant Primary Sources for Historians. Hum. Comput., 6:147-175, 2019.
- David Gil de Gómez Pérez, Roman Bednarik. POnline: An Online Pupil Annotation Tool Employing Crowd-sourcing and Engagement Mechanisms. Hum. Comput., 6:176-191, 2019.
- Anoush Margaryan. Comparing crowdworkers' and conventional knowledge workers' self-regulated learning strategies in the workplace. Hum. Comput., 6:83-97, 2019.
- Amrapali Zaveri, Wei Hu, Michel Dumontier. MetaCrowd: Crowdsourcing Biomedical Metadata Quality Assessment. Hum. Comput., 6:98-112, 2019.
- Themistoklis Karavellas, Anggarda Prameswari, Oana Inel, Victor de Boer. Local Crowdsourcing for Annotating Audio: the Elevator Annotator platform. Hum. Comput., 6:1-11, 2019.