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