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Human Computation, Volume 9
Volume 9, Number 1, 2022
- Ilaria Baroni, Gloria Re Calegari, Damiano Scandolari, Irene Celino:
AI-TAM: a model to investigate user acceptance and collaborative intention inhuman-in-the-loop AI applications. 1-21 - Seth Cooper:
Quality-Diversity in Human Computation. - Lisa Posch, Arnim Bleier, Fabian Flöck, Markus Strohmaier:
Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics. - Janet Rafner, Miroslav Gajdacz, Gitte Kragh, Arthur Hjorth, Anna Gander, Blanka Palfi, Aleksandra Berditchevskiaia, François Grey, Kobi Gal, Avi Segal, Mike Wamsley, Josh Aaron Miller, Dominik Dellermann, Mordechai Haklay, Pietro Michelucci, Jacob Friis Sherson:
Mapping Citizen Science through the Lens of Human-Centered AI. 66-95
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