• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 80 matches

• 2024
• 
  Vassilis Lyberatos, Spyridon Kantarelis, Eirini Kaldeli, Spyros Bekiaris, Panagiotis Tzortzis, Orfeas Menis-Mastromichalakis, Giorgos Stamou:
  Crowdsourcing as a Pedagogical Tool in Computer Science Higher Education: a Case Study. Hum. Comput. 11(1): 47-70 (2024)
• 
  Panagiotis Mavridis, Oana Inel, Xander Wilcke, Mykola Makhortykh, Markus de Jong, Honorata Mazepus, Antoaneta Dimitrova, Jesse de Vos, Alessandro Bozzon, Tobias Kuhn:
  Framing is Mightier than the Sword: Detection of Episodic and Thematic Framing in News Media. Hum. Comput. 11(1): 1-28 (2024)
• 
  Amrapali Zaveri, Pedro V. Hernandez Serrano, Michel Dumontier:
  CrowdED 1.0: Statistical Guideline for Designing Optimal Crowdsourcing Experiments. Hum. Comput. 11(1): 29-46 (2024)
• 2023
• 
  Dusan Misevic, Ignacio Atal, Denis Bedard, Eric Cherel, José Escamilla, Linda Evans, Valerie Hannon, Caroline Huron, Olivier Irrmann, René F. Kizilcec, Emmanuel Lazega, Kerri Lemoie, Ariel B. Lindner, Mariana Macedo, Gaell Mainguy, Richard Mann, Camille Masselot, Pietro Michelucci, Iryna Nikolayeva, Amy Ogan, Mar Pérez-Sanagustín, Niccolo Pescetelli, Sasha Poquet, Janet Rafner, Dominic Regester, Marc Santolini, Jean-Marc Sevin, Dafna Shahaf, Jacob Friis Sherson, Jacksón Smith, Mattias Söllner, Françoise Fogelman-Soulié, François Taddei, Liubov Tupikina, Sander van der Leeuw:
  Harnessing collective intelligence for the future of learning - a co-constructed research and development agenda. Hum. Comput. 10(1): 1-30 (2023)
• 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. Hum. Comput. 9(1): 1-21 (2022)
• 
  Seth Cooper:
  Quality-Diversity in Human Computation. Hum. Comput. 9(1) (2022)
• 
  Lisa Posch, Arnim Bleier, Fabian Flöck, Markus Strohmaier:
  Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics. Hum. Comput. 9(1) (2022)
• 
  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. Hum. Comput. 9(1): 66-95 (2022)
• 2021
• 
  Samreen Anjum, Ambika Verma, Brandon Dang, Danna Gurari:
  Exploring the Use of Deep Learning with Crowdsourcing to Annotate Images. Hum. Comput. 8(2): 76-106 (2021)
• 
  Jon Chamberlain, Benjamin Turpin, Maged Ali, Kakia Chatsiou, Kirsty O'Callaghan:
  Designing for Collective Intelligence and Community Resilience on Social Networks. Hum. Comput. 8(2): 15-32 (2021)
• 
  Masaki Kobayashi, Hiromi Morita, Masaki Matsubara, Nobuyuki Shimizu, Atsuyuki Morishima:
  Empirical Study on Effects of Self-Correction in Crowdsourced Microtasks. Hum. Comput. 8(1): 1-24 (2021)
• 
  Anoush Margaryan:
  The Life Course: An interdisciplinary framework for broadening the scope of research on crowdwork. Hum. Comput. 8(1): 43-75 (2021)
• 
  Frank O. Ostermann, Laure Kloetzer, Marisa Ponti, Sven Schade:
  Special Issue Editorial: Crowd AI for Good. Hum. Comput. 8(2): 1-4 (2021)
• 
  Meredith S. Palmer, Sarah E. Huebner, Marco Willi, Lucy Fortson, Craig Packer:
  Citizen science, computing, and conservation: How can "Crowd AI" change the way we tackle large-scale ecological challenges? Hum. Comput. 8(2): 54-75 (2021)
• 
  Marisa Ponti, Laure Kloetzer, Grant Miller, Frank O. Ostermann, Sven Schade:
  Can't we all just get along? Citizen scientists interacting with algorithms. Hum. Comput. 8(2): 5-14 (2021)
• 
  Manuel Portela:
  Interfacing participation in citizen science projects with conversational agents. Hum. Comput. 8(2): 33-53 (2021)
• 
  Lea Shanley, Pietro Michelucci, Krystal S. Tsosie, George Wyeth, Julia Kumari Drapkin, Krystal Azelton, Darlene Cavalier, Jason Holmberg:
  Public Comment on Draft NOAA Citizen Science Strategy. Hum. Comput. 8(1): 25-42 (2021)
• 2020
• 
  Silas Nyboe Ørting, Andrew Doyle, Arno van Hilten, Matthias Hirth, Oana Inel, Christopher R. Madan, Panagiotis Mavridis, Helen Spiers, Veronika Cheplygina:
  A Survey of Crowdsourcing in Medical Image Analysis. Hum. Comput. 7: 1-26 (2020)
• 2019
• 
  Chris Dijkshoorn, Victor de Boer, Lora Aroyo, Guus Schreiber:
  Accurator: Nichesourcing for Cultural Heritage. Hum. Comput. 6: 12-41 (2019)
• 
  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)
• 
  Themistoklis Karavellas, Anggarda Prameswari, Oana Inel, Victor de Boer:
  Local Crowdsourcing for Annotating Audio: the Elevator Annotator platform. Hum. Comput. 6: 1-11 (2019)
• 
  Xipei Liu, James P. Bagrow:
  Autocompletion interfaces make crowd workers slower, but their use promotes response diversity. Hum. Comput. 6: 42-55 (2019)
• 
  Anoush Margaryan:
  Comparing crowdworkers' and conventional knowledge workers' self-regulated learning strategies in the workplace. Hum. Comput. 6: 83-97 (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)
• 
  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)
• 
  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)
• 
  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)
• 
  Amrapali Zaveri, Wei Hu, Michel Dumontier:
  MetaCrowd: Crowdsourcing Biomedical Metadata Quality Assessment. Hum. Comput. 6: 98-112 (2019)
• 2018
• 
  Gloria Re Calegari, Gioele Nasi, Irene Celino:
  Human Computation vs. Machine Learning: an Experimental Comparison for Image Classification. Hum. Comput. 5: 13-30 (2018)
• 
  Marisa Ponti, Igor Stankovic, Wolmet Barendregt, Bruno Kestemont, Lyn Bain:
  Chefs Know More than Just Recipes: Professional Vision in a Citizen Science Game. Hum. Comput. 5: 1-12 (2018)

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