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Peripheral Neuroergonomics – An Elegant Way to Improve Human-Robot Interaction?

Del Vecchio, Alessandro ; Castellini, Claudio ; Beckerle, Philipp (2024)
Peripheral Neuroergonomics – An Elegant Way to Improve Human-Robot Interaction?
In: Frontiers in Neurorobotics, 2021, 15
doi: 10.26083/tuprints-00019632
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Peripheral Neuroergonomics – An Elegant Way to Improve Human-Robot Interaction?
Language: English
Date: 19 January 2024
Place of Publication: Darmstadt
Year of primary publication: 2021
Place of primary publication: Lausanne
Publisher: Frontiers Media S.A.
Journal or Publication Title: Frontiers in Neurorobotics
Volume of the journal: 15
Collation: 5 Seiten
DOI: 10.26083/tuprints-00019632
Corresponding Links:
Origin: Secondary publication DeepGreen

The day seems not too far away, in which robots will be an active part of our daily life, just like electric appliances already are. Hence, there is an increasing need for paradigms, tools, and techniques to design proper human-robot interaction in a human-centered fashion (Beckerle et al., 2017). To this end, appropriate Human-Machine Interfaces (HMIs) are required, and there is a growing body of research showing how the Peripheral Nervous System (PNS) might be the ideal channel through which this interaction could proficiently happen.

Uncontrolled Keywords: peripheral interfaces, myography, user experience, neuroergonomics, human-robot interaction
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-196329
Additional Information:

This article is part of the Research Topic Neuroergonomics in Human-Robot Interaction

Classification DDC: 600 Technology, medicine, applied sciences > 610 Medicine and health
600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Institute for Mechatronic Systems in Mechanical Engineering (IMS)
Date Deposited: 19 Jan 2024 14:30
Last Modified: 12 Mar 2024 10:27
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19632
PPN: 516170503
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