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Make your wishes to 'genie in the lamp': physical push with a socially intelligent robot

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Published:06 March 2011Publication History

ABSTRACT

This paper proposes a robotic agent named 'Genie' that understands a user's wish and gives its possible answers on a social network platform. Once a potential wish is detected upon monitoring the text updates in the micro-blog of the user, the agent initiates a task to help the user with both NLP and metadata analysis. As an interaction scenario, we set the type of a robot as an agent that identifies wishful products by searching for and analyzing product information on the web. After an analysis of the vast amount of data, the agent provides possible answers to the user as a way of granting the wish that might require additional time and effort to achieve. In order to draw the user's attention, the agent makes a physical movement as a push notification with more user-friendliness.

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References

  1. Kalfoglou, Y., Domingue, J., Motta, E., Vargas-Vera, M., and Suhum, S. B. 2001. MyPlanet: an ontology-driven Web-based personalised news service. Proc. of the IJCAI-01 Workshop on Ontologies and Information Sharing.Google ScholarGoogle Scholar
  2. Weng, S. and Liu, M. 2004. Personalized product recommendation in e-commerce, Proc. of EEE'04. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Klein, D. and Manning, C. D. 2003 Accurate Unlexicalized Parsing. Proc. of ACL 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Make your wishes to 'genie in the lamp': physical push with a socially intelligent robot

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          cover image ACM Conferences
          HRI '11: Proceedings of the 6th international conference on Human-robot interaction
          March 2011
          526 pages
          ISBN:9781450305617
          DOI:10.1145/1957656

          Copyright © 2011 Authors

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 6 March 2011

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          Overall Acceptance Rate242of1,000submissions,24%

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