“Is It Future or Is It Past?”: From Self-contained Microtasks to AI-driven Collaborative Crowdsourcing
Interest in artificial intelligence (AI)-driven crowd work has increased during the last few years as a line of inquiry that expands upon prior research on microtasking to represent a means of scaling up complex tasks through AI mediation. Despite the increasing attention to the macrotask phenomenon in crowdsourcing, there is a need to understand the processes, elements, and constraints underlying the infrastructural and behavioral aspects in such form of crowd work when involving collaboration. To this end, this paper provides a first attempt to characterize some of the research conducted in this direction to identify important paths for an agenda comprising key drivers, challenges, and prospects for integrating human-centered AI in collaborative crowdsourcing environments.
Authors
- Ramon Chaves (ORCID: https://orcid.org/0009-0007-8990-4557)
- Benjamim Fonseca (ORCID: https://orcid.org/0000-0002-0850-9755)
- António Correia (ORCID: https://orcid.org/0000-0002-2736-3835)
- Daniel Schneider (ORCID: https://orcid.org/0000-0003-2987-4732)
- Marcos António de Almeida (ORCID: https://orcid.org/0000-0002-8900-3464)
- Hesam Mohseni
Institutions
- Universidade Federal do Rio de Janeiro (BR)
- University of Trás-os-Montes and Alto Douro (PT)
- INESC TEC (PT)
- University of Jyväskylä (FI)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/ichora65333.2025.11017036
- Primary Topic
- Mobile Crowdsensing and Crowdsourcing
- Type
- article
- Field-Weighted Citation Impact
- 0.00