Designing for Hybrid Intelligence: A Taxonomy and Survey of Crowd-Machine Interaction

Designing for Hybrid Intelligence: A Taxonomy and Survey of Crowd-Machine Interaction

With the widespread availability and pervasiveness of artificial intelligence (AI) in many application areas across the globe, the role of crowdsourcing has seen an upsurge in terms of importance for scaling up data-driven algorithms in rapid cycles through a relatively low-cost distributed workforc...

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Bibliographic Details
Main Authors: António Correia, Andrea Grover, Daniel Schneider, Ana Paula Pimentel, Ramon Chaves, Marcos Antonio de Almeida, Benjamim Fonseca
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
conceptual framework
crowd-machine hybrid interaction
design implications
hybrid intelligence
survey
taxonomy
Online Access:https://www.mdpi.com/2076-3417/13/4/2198

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https://www.mdpi.com/2076-3417/13/4/2198

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