The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction
School of Informatics, University of Skövde, Box 408, 541 28 Skövde, Sweden
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Sensors 2020, 20(15), 4284; https://doi.org/10.3390/s20154284
Received: 12 June 2020
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Revised: 14 July 2020
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Accepted: 29 July 2020
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Published: 31 July 2020
(This article belongs to the Special Issue Human-Robot Interaction and Sensors for Social Robotics)
The coexistence of robots and humans in shared physical and social spaces is expected to increase. A key enabler of high-quality interaction is a mutual understanding of each other’s actions and intentions. In this paper, we motivate and present a systematic user experience (UX) evaluation framework 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 evaluation framework is packaged into a methodological approach called ANEMONE (action and intention recognition in human robot interaction). ANEMONE has its foundation in cultural-historical activity 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 work presented in this paper. The proposed methodological approach of ANEMONE provides guidance on how to measure, assess, and evaluate the mutual recognition of actions and intentions between humans and robots for investigators of UX evaluation. The paper ends with a discussion, addresses future work, and some concluding remarks.
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Keywords:
human-robot interaction; human-robot collaboration; user-centered; evaluation; action recognition; intention recognition; activity theory; seven stages of action; user experience (UX)
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MDPI and ACS Style
Lindblom, J.; Alenljung, B. The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction. Sensors 2020, 20, 4284. https://doi.org/10.3390/s20154284
AMA Style
Lindblom J, Alenljung B. The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction. Sensors. 2020; 20(15):4284. https://doi.org/10.3390/s20154284
Chicago/Turabian StyleLindblom, Jessica, and Beatrice Alenljung. 2020. "The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction" Sensors 20, no. 15: 4284. https://doi.org/10.3390/s20154284
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