The coexistence of robots and humans in shared physical and social spaces is expected toincrease. A key enabler of high-quality interaction is a mutual understanding of each other’s actionsand intentions. In this paper, we motivate and present a systematic user experience (UX) evaluationframework of action and intention recognition between humans and robots from a UX perspective,because there is an identified lack of this kind of evaluation methodology. The evaluationframework is packaged into a methodological approach called ANEMONE (action and intentionrecognition in human robot interaction). ANEMONE has its foundation in cultural-historicalactivity theory (AT) as the theoretical lens, the seven stages of action model, and user experience(UX) evaluation methodology, which together are useful in motivating and framing the workpresented in this paper. The proposed methodological approach of ANEMONE provides guidanceon how to measure, assess, and evaluate the mutual recognition of actions and intentions betweenhumans and robots for investigators of UX evaluation. The paper ends with a discussion, addressesfuture work, and some concluding remarks. ; CC BY 4.0 This article belongs to the Special Issue Human-Robot Interaction and Sensors for Social Robotics


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    Title :

    The ANEMONE : Theoretical Foundations for UX Evaluation of Action and Intention Recognitionin Human-Robot Interaction


    Contributors:

    Publication date :

    2020-01-01


    Remarks:

    Scopus 2-s2.0-85088948958



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




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