Amirova Aida, Rakhymbayeva Nazerke, Yadollahi Elmira, Sandygulova Anara, Johal Wafa
Graduate School of Education, Nazarbayev University, Nur-Sultan, Kazakhstan.
Department of Robotics and Mechatronics, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan.
Front Robot AI. 2021 Nov 19;8:744526. doi: 10.3389/frobt.2021.744526. eCollection 2021.
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.
人机交互（HRI）这一不断发展的领域要求我们更好地理解社交机器人如何运作以及与人类互动。本综述概述了2010年至2020年期间约300项聚焦于NAO机器人使用的研究工作。本研究提供了关于人形NAO机器人部署及其全球影响力的最广泛、最全面的证据之一。与大多数综述不同，我们提供了关于NAO如何被使用以及迄今为止取得了哪些成果的定性和定量结果。我们分析了广泛的理论、实证和技术贡献，这些贡献提供了多维度的见解，例如应用方面的总体趋势、机器人能力、其通信的输入和输出方式，以及以NAO为特色的人机交互实验（如参与者的数量和角色、设计以及交互时长）。最后，我们从综述中得出当前最先进技术中的一些研究空白，并为下一代社交机器人的设计提供建议。
