Adaptive trust calibration for human-AI collaboration

Safety and efficiency of human-AI collaboration often depend on how humans could appropriately calibrate their trust towards the AI agents. Over-trusting the autonomous system sometimes causes serious safety issues. Although many studies focused on the importance of system transparency in keeping pr...

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Detalles Bibliográficos
Autores principales: Okamura, Kazuo, Yamada, Seiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7034851/
https://www.ncbi.nlm.nih.gov/pubmed/32084201
http://dx.doi.org/10.1371/journal.pone.0229132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7034851/
https://www.ncbi.nlm.nih.gov/pubmed/32084201
http://dx.doi.org/10.1371/journal.pone.0229132

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