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      10 Years of Human-NAO Interaction Research: A Scoping Review

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          Abstract

          The evolving field of human-robot interaction (HRI) necessitates that we better understand how social robots operate and interact with humans. This scoping review provides an overview of about 300 research works focusing on the use of the NAO robot from 2010 to 2020. This study presents one of the most extensive and inclusive pieces of evidence on the deployment of the humanoid NAO robot and its global reach. Unlike most reviews, we provide both qualitative and quantitative results regarding how NAO is being used and what has been achieved so far. We analyzed a wide range of theoretical, empirical, and technical contributions that provide multidimensional insights, such as general trends in terms of application, the robot capabilities, its input and output modalities of communication, and the human-robot interaction experiments that featured NAO (e.g. number and roles of participants, design, and the length of interaction). Lastly, we derive from the review some research gaps in current state-of-the-art and provide suggestions for the design of the next generation of social robots.

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          Most cited references172

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          Human-Robot Interaction: A Survey

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            Social robots for education: A review

            Social robots can be used in education as tutors or peer learners. They have been shown to be effective at increasing cognitive and affective outcomes and have achieved outcomes similar to those of human tutoring on restricted tasks. This is largely because of their physical presence, which traditional learning technologies lack. We review the potential of social robots in education, discuss the technical challenges, and consider how the robot’s appearance and behavior affect learning outcomes.
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              Methods for Research Evidence Synthesis: The Scoping Review Approach

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                Author and article information

                Contributors
                Journal
                Front Robot AI
                Front Robot AI
                Front. Robot. AI
                Frontiers in Robotics and AI
                Frontiers Media S.A.
                2296-9144
                19 November 2021
                2021
                : 8
                : 744526
                Affiliations
                [ 1 ]Graduate School of Education, Nazarbayev University, Nur-Sultan, Kazakhstan
                [ 2 ]Department of Robotics and Mechatronics, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan
                [ 3 ]École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
                [ 4 ]University of Melbourne, Melbourne, VIC, Australia
                [ 5 ]UNSW, Sydney, NSW, Australia
                Author notes

                Edited by: Séverin Lemaignan, Pal Robotics S.L., Spain

                Reviewed by: Matthew Gombolay, Georgia Institute of Technology, United States

                Bin Fang, Tsinghua University, China

                *Correspondence: Anara Sandygulova, anara.sandygulova@ 123456nu.edu.kz ; Wafa Johal, wafa.johal@ 123456unimelb.edu.au

                This article was submitted to Human-Robot Interaction, a section of the journal Frontiers in Robotics and AI

                Article
                744526
                10.3389/frobt.2021.744526
                8640132
                34869613
                5448beb4-b8d5-4fbe-ba95-7cc136c50f3f
                Copyright © 2021 Amirova, Rakhymbayeva, Yadollahi, Sandygulova and Johal.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 July 2021
                : 21 October 2021
                Funding
                Funded by: Australian Research Council , doi 10.13039/501100000923;
                Funded by: Nazarbayev University , doi 10.13039/501100012632;
                Funded by: University of New South Wales , doi 10.13039/501100001773;
                Categories
                Robotics and AI
                Systematic Review

                social robot,human-robot interaction,nao,survey,review,humanoid robot,qualitative,quantitative

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