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.


    Access

    Download


    Export, share and cite



    Title :

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



    Publication date :

    2021-01-01



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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

    Khamaisi R. K. / Prati E. / Peruzzini M. et al. | BASE | 2021

    Free access

    Collaborative Programming of Conditional Robot Tasks

    Willibald, Christoph / Eiband, Thomas / Lee, Dongheui | German Aerospace Center (DLR) | 2020

    Free access



    On inferring intentions in shared tasks for industrial collaborative robots

    Olivares-Alarcos, Alberto / Foix, Sergi / Alenyà, Guillem | BASE | 2019

    Free access