Skip to main content

Naturalistic Conversational Gaze Control for Humanoid Robots - A First Step

  • Conference paper
  • First Online:
Book cover Social Robotics (ICSR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10652))

Included in the following conference series:

Abstract

In this paper we introduce a new model for conversational gaze control for robots with physical eyes. We describe our modeling approach and present the results of a set of exploratory experiments. The work illustrated here is a first step of a larger research program dedicated to the development of a conversational gaze controller (CGC) for Human-Robot Interaction (HRI). The study presented has pilot character and was designed to inform the next development steps of the model. Despite the limitations of the presented version of the model, our results are in line with the findings of previous studies and illustrate the importance of eye movements for HRI.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Admoni, H., Scassellati, B.: Social eye gaze in human-robot interaction: a review. J. Human-Robot Interact. (2017)

    Google Scholar 

  2. Annosoft: Phoneme mapping (2015). www.annosoft.com/docs/Visemes17.html

  3. Argyle, M.: Bodily Communication, 2nd edn. Routledge, London (1988)

    Google Scholar 

  4. Aron, A., Aron, E.N., Smollan, D.: Inclusion of other in the self scale and the structure of interpersonal closeness. J. Pers. Soc. Psychol. (1992)

    Google Scholar 

  5. Baltrušaitis, T., Robinson, P., Morency, L.P.: 3d constrained local model for rigid and non-rigid facial tracking. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2610–2617. IEEE (2012)

    Google Scholar 

  6. Bartneck, C., Kulić, D., Croft, E., Zoghbi, S.: Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots (2009)

    Google Scholar 

  7. Breazeal, C., Scassellati, B.: How to build robots that make friends and influence people. In: Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS 1999), vol. 2, pp. 858–863 (1999)

    Google Scholar 

  8. Broz, F., Lehmann, H.: A gaze controller for coordinating mutual gaze during conversational turn-taking in human-robot interaction. In: HRI 2015 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts. ACM, New York (2015)

    Google Scholar 

  9. Broz, F., Lehmann, H., Nehaniv, C., Dautenhahn, K.: Mutual gaze, personality, and familiarity: dual eye-tracking during conversation. In: IEEE International Symposium on Robots and Human Interactive Communications (RO-MAN) (2012)

    Google Scholar 

  10. Cappelletta, L., Harte, N.: Phoneme-to-viseme mapping for visual speech recognition. In: Proceedings of ICPRAM, vol. 2, pp. 322–329 (2012)

    Google Scholar 

  11. Farroni, T.: Infants perceiving and acting on the eyes: tests of an evolutionary hypothesis. J. Exp. Child Psychol. 85(3), 199–212 (2003)

    Article  Google Scholar 

  12. Heider, F., Simmel, M.: An experimental study of apparent behaviour. Am. J. Psychol. 57, 243–259 (1944)

    Article  Google Scholar 

  13. Kleinke, C.: Gaze and eye contact: a research review. Psychol. Bull. 10(1), 78–100 (2003)

    Google Scholar 

  14. MaryTTS (2015). http://mary.dfki.de/

  15. Metta, G., Natale, L., Nori, F., Sandini, G., Vernon, D., Fadiga, L., Von Hofsten, C., Rosander, K., Lopes, M., Santos-Victor, J., Bernardino, A.: The ICUB humanoid robot: an open-systems platform for research in cognitive development. Neural Netw. 23(8), 1125–1134 (2010)

    Article  Google Scholar 

  16. Mori, M., MacDorman, K.: The uncanny valley. Energy (1970)

    Google Scholar 

  17. Roncone, A., Pattacini, U., Metta, G., Natale, L.: A cartesian 6-dof gaze controller for humanoid robots. In: Proceedings of Robotics: Science and Systems (2016)

    Google Scholar 

  18. Trevarthen, C., Aitken, K.: Infant intersubjectivity: research, theory, and clinical applications. J. Child Psychol. Psychiatry Allied Discipl. 42(1), 3–48 (2001)

    Article  Google Scholar 

Download references

Acknowledgements

Research supported by the Scottish Informatics and Computer Science Alliance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hagen Lehmann .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Lehmann, H., Keller, I., Ahmadzadeh, R., Broz, F. (2017). Naturalistic Conversational Gaze Control for Humanoid Robots - A First Step. In: Kheddar, A., et al. Social Robotics. ICSR 2017. Lecture Notes in Computer Science(), vol 10652. Springer, Cham. https://doi.org/10.1007/978-3-319-70022-9_52

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-70022-9_52

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70021-2

  • Online ISBN: 978-3-319-70022-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics