skip to main content
10.1145/2559636.2559837acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
poster

An emotional model for social robots: late-breaking report

Published:03 March 2014Publication History

ABSTRACT

We developed an emotional model, which could help supporting robots to accommodate humans during a working task inside an industrial setting. The robot would recognize when a human is experiencing increased stress and decides whether it should assist the human or should do other tasks. We propose the model as a framework which was developed as part of "The Smart Virtual Worker"-project within the context of human-robot interactions. The emotional model is able to estimate a worker's emotional valence throughout a typical work task by applying a hierarchical reinforcement learning algorithm. Since emotions are generated by the human brain based on an individual's interpretation of a stimulus, we linked the genesis of emotions to empirical findings of the sports sciences in order to infer an emotional reaction. Furthermore, the model reproduces sympathetic reactions of the human body and is capable of remembering past actions in order to include possible future time constraints as an initiator for emotional responses in the upcoming iterations. This capability is crucial for accommodating long-term experiences since the emotional reaction is not only based on the present situation, but on the whole experimental setting.

References

  1. C. Breazeal. Emotion and sociable humanoid robots. Int. J. Hum.-Comput. Stud., 59(1-2):119--155, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. K. Dautenhahn. Socially intelligent robots: dimensions of human-robot interaction. Phil. Trans. R. Soc. B, 362(1480):679--704, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  3. Y. Demiris and B. Khadhouri. Hierarchical attentive multiple models for execution and recognition of actions. Robotics and Autonomous Systems, 54(5):361--369, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  4. A. D. Dragan, K. C. Lee, and S. S. Srinivasa. Legibility and predictability of robot motion. In Proceedings of the 8th ACM/IEEE International Conference on Human-robot Interaction, HRI '13, pages 301--308, Piscataway, NJ, USA, 2013. IEEE Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. T. Fong, I. Nourbakhsh, and K. Dautenhahn. A survey of socially interactive robots, 2002.Google ScholarGoogle Scholar
  6. H. Gunes and B. Schuller. Categorical and dimensional affect analysis in continuous input: Current trends and future directions. Image Vision Comput., 31(2):120--136, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. P. J. Hinds, T. L. Roberts, and H. Jones. Whose job is it anyway? a study of human-robot interaction in a collaborative task. Hum.-Comput. Interact., 19(1):151--181, June 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. I. I. F. of Robotics. World robotics 2013 industrial robots, Nov 2013.Google ScholarGoogle Scholar
  9. J. G. Trafton, L. M. Hiatt, A. M. Harrison, F. P. Tamborello, S. S. Khemlani, and A. C. Schultz. Act-r/e: An embodied cognitive architecture for human-robot interaction. Journal of Human-Robot Interaction, 2:30--54, 2013.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. D. Zillmann, R. C. Johnson, and K. D. Day. Attribution of apparent arousal and proficiency of recovery from sympathetic activation affecting excitation transfer to aggressive behavior. Journal of Experimental Social Psychology, 10(6):503--515, 1974.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. An emotional model for social robots: late-breaking report

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      HRI '14: Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
      March 2014
      538 pages
      ISBN:9781450326582
      DOI:10.1145/2559636

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 3 March 2014

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      HRI '14 Paper Acceptance Rate32of132submissions,24%Overall Acceptance Rate242of1,000submissions,24%
    • Article Metrics

      • Downloads (Last 12 months)16
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader