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  • How to include User eXperie...
    Prati, Elisa; Peruzzini, Margherita; Pellicciari, Marcello; Raffaeli, Roberto

    Robotics and computer-integrated manufacturing, April 2021, 2021-04-00, 20210401, Volume: 68
    Journal Article

    •Inclusion of human factors in the design of Human-Robot collaborative interfaces•UX-based approach to include human factors in human-robot interface design and practically support user-centred design•Set of UX specific tools to collect user requirements and support the design of human-robot interfaces•Validation on an industrial case study focusing on collaborative assembly In recent years Human-Robot Collaboration (HRC) has become a strategic research field, considering the emergent need for common collaborative execution of manufacturing tasks, shared between humans and robots within the modern factories. However, the majority of the research focuses on the technological aspects and enabling technologies, mainly directing to the robotic side, and usually neglecting the human factors. This work deals with including the needs of the humans interacting with robots in the design in human-robot interaction (HRI). In particular, the paper proposes a user experience (UX)-oriented structured method to investigate the human-robot dialogue to map the interaction with robots during the execution of shared tasks, and to finally elicit the requirements for the design of valuable HRI. The research adopted the proposed method to an industrial case focused on assembly operations supported by collaborative robots and AGVs (Automated Guided Vehicles). A multidisciplinary team was created to map the HRI for the specific case with the final aim to define the requirements for the design of the system interfaces. The novelty of the proposed approach is the inclusion of typically interaction design tools focusing in the analysis of the UX into the design of the system components, without merely focusing on the technological issues. Experimental results highlighted the validity of the proposed method to identify the interaction needs and to drive the interface design.