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.

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), 1-17 [10.3390/app112110448].

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

Peruzzini M.
;
2021

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.
2021
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), 1-17 [10.3390/app112110448].
Khamaisi R. K.; Prati E.; Peruzzini M.; Raffaeli R.; Pellicciari M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/949409
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