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Appl. Sci. 2017, 7(12), 1316; doi:10.3390/app7121316

Bibliometric Analysis of Social Robotics Research: Identifying Research Trends and Knowledgebase

Department of Innovation, Graduate School of Innovation Management, Tokyo Institute of Technology, Tokyo 108-0023, Japan
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Received: 10 October 2017 / Revised: 24 November 2017 / Accepted: 13 December 2017 / Published: 18 December 2017
(This article belongs to the Special Issue Social Robotics)
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Abstract

As robotics becomes ubiquitous, there is increasing interest in understanding how to develop robots that better respond to social needs, as well as how robotics impacts society. This is evidenced by the growing rate of publications on social robotics. In this article, we analyze the citation network of academic articles on social robotics to understand its structure, reveal research trends and expose its knowledgebase. We found eight major clusters, namely robots as social partners, human factors and ergonomics on human robot interaction, robotics for children’s development, swarm robotics, emotion detection, assessment of robotic surgery, robots for the elderly and telepresence and human robot interaction in rescue robots. In addition, despite its social focus, social science literature as a source of knowledge is barely present. Research trends point to studies on applications, rather than to specific technologies or morphologies, and in particular, towards robots as partners, for child development and assistance for the elderly. View Full-Text
Keywords: social robotics; bibliometric analysis; network analysis; knowledgebase; citation analysis; clustering; trends social robotics; bibliometric analysis; network analysis; knowledgebase; citation analysis; clustering; trends
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Mejia, C.; Kajikawa, Y. Bibliometric Analysis of Social Robotics Research: Identifying Research Trends and Knowledgebase. Appl. Sci. 2017, 7, 1316.

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