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Ux in ar-supported industrial human–robot collaborative tasks: A systematic review

Articolo
Data di Pubblicazione:
2021
Citazione:
Ux in ar-supported industrial human–robot collaborative tasks: A systematic review / Khamaisi, R. K.; Prati, E.; Peruzzini, M.; Raffaeli, R.; Pellicciari, M.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 11:21(2021), pp. 10448-10448. [10.3390/app112110448]
Abstract:
The fourth industrial revolution is promoting the Operator 4.0 paradigm, originating from a renovated attention towards human factors, growingly involved in the design of modern, human-centered processes. New technologies, such as augmented reality or collaborative robotics are thus increasingly studied and progressively applied to solve the modern operators’ needs. Human-centered design approaches can help to identify user’s needs and functional requirements, solving usability issues, or reducing cognitive or physical stress. The paper reviews the recent literature on augmented reality-supported collaborative robotics from a human-centered perspective. To this end, the study analyzed 21 papers selected after a quality assessment procedure and remarks the poor adoption of user-centered approaches and methodologies to drive the development of human-centered augmented reality applications to promote an efficient collaboration between humans and robots. To remedy this deficiency, the paper ultimately proposes a structured framework driven by User eXperience approaches to design augmented reality interfaces by encompassing previous research works. Future developments are discussed, stimulating fruitful reflections and a decisive standardization process.
Tipologia CRIS:
Articolo su rivista
Keywords:
Augmented reality; Human factors; Human-centered design; Human–robot collaboration; Human–robot interaction; User eXperience
Elenco autori:
Khamaisi, R. K.; Prati, E.; Peruzzini, M.; Raffaeli, R.; Pellicciari, M.
Autori di Ateneo:
PELLICCIARI Marcello
RAFFAELI ROBERTO
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1256295
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1256295/368864/2021%20-%20MPDI%20AppScie%20UX%20in%20AR-supported%20industrial%20HRC%20tasks.pdf
Pubblicato in:
APPLIED SCIENCES
Journal
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URL

https://www.mdpi.com/2076-3417/11/21/10448
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