TY - JOUR
AU1 - Mejia, Cristian
AU2 - Kajikawa, Yuya
AB - 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.
TI - Bibliometric Analysis of Social Robotics Research: Identifying Research Trends and Knowledgebase
JF - Applied Sciences
DO - 10.3390/app7121316
DA - 2017-12-18
UR - https://www.deepdyve.com/lp/multidisciplinary-digital-publishing-institute/bibliometric-analysis-of-social-robotics-research-identifying-research-VIVnjZRrxZ
SP - 1316
VL - 7
IS - 12
DP - DeepDyve
ER -