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General Information

  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian R. McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
  • Abstracting/Indexing: Scopus (since 2016), CNKI, Google Scholar, Crossref, etc.
  • E-mail questions to IJMERR Editorial Office.

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International Journal of Mechanical Engineering and Robotics Research
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Analysis of Cross-Cultural Effect on Gesture-Based Human-Robot Interaction

Abstract—This paper presents a between-subjects elicitation study that aims to analyze the effect of culture on gesture-based human-robot interaction. In this study, participants from Brazil and other six countries are asked to perform gestures for controlling a mobile robot according to eight given tasks. The movements proposed are recorded and classified by the researchers, who statically assess the agreement level between the two groups. The results show that the culture does not influence the type of gesture used, but it may have an effect on the preferred gesture when the task has a cultural core. The study also highlights that the little experience of the public with robots, regardless of its cultural background, may hinder the interaction when it is required abstract commands. 

Index Terms—human-machine interaction, gestures, culture, social robotics, elicitation study