Vol. 6 (2019)

Image of Human Computation journal issue cover

DOI: https://doi.org/10.15346/hc.v6i1

Published: 2019-06-02

Briefs

Local Crowdsourcing for Annotating Audio: the Elevator Annotator platform

Themistoklis Karavellas, Anggarda Prameswari, Oana Inel, Victor de Boer

1-11
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Research

Accurator: Nichesourcing for Cultural Heritage

Chris Dijkshoorn, Victor de Boer, Lora Aroyo, Guus Schreiber

12-41
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Autocompletion interfaces make crowd workers slower, but their use promotes response diversity

Xipei Liu, James Bagrow

42-55
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Aligning Needs: Integrating Citizen Science Efforts into Schools Through Service Requirements.

Ginger Tsueng, Arun Kumar, Steven Max Nanis, Andrew I Su

56-82
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Comparing crowdworkers’ and conventional knowledge workers’ self-regulated learning strategies in the workplace

Anoush Margaryan

83-97
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MetaCrowd: Crowdsourcing Biomedical Metadata Quality Assessment

Amrapali Zaveri, Wei Hu, Michel Dumontier

98-112
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InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd

Ting-Hao K. Huang, Amos Azaria, Oscar J. Romero, Jeffrey P. Bigham

113-146
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Read-Agree-Predict: A Crowdsourced Approach to Discovering Relevant Primary Sources for Historians

Nai-Ching Wang, David Hicks, Paul Quigley, Kurt Luther

147-175
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POnline: An Online Pupil Annotation Tool Employing Crowd-sourcing and Engagement Mechanisms

David Gil de Gómez Pérez, Roman Bednarik

176-191
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Predicting the Working Time of Microtasks Based on Workers' Perception of Prediction Errors

Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey Bigham

192-219
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