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Survey on - Socially Intelligent Robots by using NLP

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 171 - Number 1
Year of Publication: 2017
Authors:
Shruthi J., Suma Swamy, Sarika C. G.
10.5120/ijca2017914731

Shruthi J., Suma Swamy and Sarika C G.. Survey on - Socially Intelligent Robots by using NLP. International Journal of Computer Applications 171(1):19-21, August 2017. BibTeX

@article{10.5120/ijca2017914731,
	author = {Shruthi J. and Suma Swamy and Sarika C. G.},
	title = {Survey on - Socially Intelligent Robots by using NLP},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2017},
	volume = {171},
	number = {1},
	month = {Aug},
	year = {2017},
	issn = {0975-8887},
	pages = {19-21},
	numpages = {3},
	url = {http://www.ijcaonline.org/archives/volume171/number1/28145-2017914731},
	doi = {10.5120/ijca2017914731},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

The design of natural interaction with social robots is highly complex process, given the huge design space of robots in terms of appearance and behaviour and the challenges arising when using face detection and speech recognition in the wild. More natural and highly autonomous interaction is necessary to faster trust and engagement and hence establishing a long-term social relationship between users and robots. NLP is used to-extract user’s basic information, hobbies and interests for building a rich user profile. This presents the framework design to enable the development of social robotic applications by cross-disciplinary teams of programmers and interaction designers and advantages and dis-advantages of social robots.

References

  1. I.A. Hameed et al. “User Acceptance of social Robots”In Proceedings of Ninth International Conference on Advance in Computer-Human Interactions, Venice, Italy, pp. 274-279,2016.
  2. C. Breazeal, “Role of expressive behaviour for robots that learn from people” Philosophical Transactions of the Royal Society B: Biological Sciences, 364 (1535), 3527–3538, 2009.
  3. M. Lohse, F. Hegel and B. Wrede, “Domestic Applications for Social Robots - an online survey on the influence of appearance and capabilities” Journal of Physical Agents, vol. 2, no. 2, pp. 21-32, 2008.
  4. Zukerman and D. Litman, “Natural Language Processing and User Modelling: Synergies and Limitations” User Modelling and User-Adapted Interaction, vol. 11, no. 1, pp.129-158, 2001.

Keywords

Human robot interaction, social robots, user modelling, user profile, interaction design framework, robot applications.