An Overview of Approaches and Methods for the Cognitive Workload Estimation in Human–Machine Interaction Scenarios through Wearables Sensors

Background: Human-Machine Interaction (HMI) has been an important field of research in recent years, since machines will continue to be embedded in many human actvities in several contexts, such as industry and healthcare. Monitoring in an ecological mannerthe cognitive workload (CW) of users, who i...

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Principais autores:	Sabrina Iarlori, David Perpetuini, Michele Tritto, Daniela Cardone, Alessandro Tiberio, Manish Chinthakindi, Chiara Filippini, Luca Cavanini, Alessandro Freddi, Francesco Ferracuti, Arcangelo Merla, Andrea Monteriù
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-05-01
Serija:	BioMedInformatics
Teme:	cognitive workload (CW) ergonomics psychophysiological assessment artificial intelligence human-robot interaction wearables
Online dostop:	https://www.mdpi.com/2673-7426/4/2/64
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