Socio-Cognitive Engineering of a Robotic Partner for Child's Diabetes Self-Management

Social or humanoid robots do hardly show up in “the wild,” aiming at pervasive and enduring human benefits such as child health. This paper presents a socio-cognitive engineering (SCE) methodology that guides the ongoing research & development for an evolving, longer-lasting human-robot partners...

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Detalles Bibliográficos
Autores principales: Neerincx, Mark A., van Vught, Willeke, Blanson Henkemans, Olivier, Oleari, Elettra, Broekens, Joost, Peters, Rifca, Kaptein, Frank, Demiris, Yiannis, Kiefer, Bernd, Fumagalli, Diego, Bierman, Bert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805829/
https://www.ncbi.nlm.nih.gov/pubmed/33501133
http://dx.doi.org/10.3389/frobt.2019.00118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805829/
https://www.ncbi.nlm.nih.gov/pubmed/33501133
http://dx.doi.org/10.3389/frobt.2019.00118

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