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Review

UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review

by
Riccardo Karim Khamaisi
1,
Elisa Prati
1,
Margherita Peruzzini
1,*,
Roberto Raffaeli
2 and
Marcello Pellicciari
2
1
Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, 41125 Modena, Italy
2
Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(21), 10448; https://doi.org/10.3390/app112110448
Submission received: 12 October 2021 / Revised: 4 November 2021 / Accepted: 5 November 2021 / Published: 7 November 2021
(This article belongs to the Special Issue Advances in Industrial Robotics and Intelligent Systems)

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.
Keywords: User eXperience; human–robot interaction; human–robot collaboration; human-centered design; augmented reality; human factors User eXperience; human–robot interaction; human–robot collaboration; human-centered design; augmented reality; human factors

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MDPI and ACS Style

Khamaisi, R.K.; Prati, E.; Peruzzini, M.; Raffaeli, R.; Pellicciari, M. UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review. Appl. Sci. 2021, 11, 10448. https://doi.org/10.3390/app112110448

AMA Style

Khamaisi RK, Prati E, Peruzzini M, Raffaeli R, Pellicciari M. UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review. Applied Sciences. 2021; 11(21):10448. https://doi.org/10.3390/app112110448

Chicago/Turabian Style

Khamaisi, Riccardo Karim, Elisa Prati, Margherita Peruzzini, Roberto Raffaeli, and Marcello Pellicciari. 2021. "UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review" Applied Sciences 11, no. 21: 10448. https://doi.org/10.3390/app112110448

APA Style

Khamaisi, R. K., Prati, E., Peruzzini, M., Raffaeli, R., & Pellicciari, M. (2021). UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review. Applied Sciences, 11(21), 10448. https://doi.org/10.3390/app112110448

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