Skip to main content

Study of a Social Robot’s Appearance Using Interviews and a Mobile Eye-Tracking Device

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 8239)

Abstract

During interaction with a social robot, its appearance is a key factor. This paper presents the use of methods more widely utilized in market research in order to verify the design of social robot FLASH during a short-term interaction. The proposed approach relies on in-depth interviews with the participants as well as data from a mobile device which allows the tracking of one’s gaze.

Keywords

  • social robot
  • eye-tracking
  • human-robot interaction
  • perception
  • in-depth interviews

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-02675-6_17
  • Chapter length: 10 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   84.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-02675-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   109.99
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Grover, R., Vriens, M.: The Handbook of Marketing Research: Uses, Misuses, and Future Advances. SAGE, Los Angeles (2006)

    Google Scholar 

  2. Zurawicki, L.: Neuromarketing: Exploring the Brain of the Consumer. Springer, Heidelberg (2010)

    CrossRef  Google Scholar 

  3. Nather, F.C., et al.: Time estimation and eye-tracking movements in human body static images. Fechner Day 25, 399–404 (2009)

    Google Scholar 

  4. Cerf, M., et al.: Faces and text attract gaze independent of the task: Experimental data and computer model. Journal of Vision 9, 1–15 (2009)

    CrossRef  Google Scholar 

  5. Chelnokova, O., Laeng, B.: Three-dimensional information in face recognition: An eye-tracking study. Journal of Vision 11(13), 1–15 (2011)

    CrossRef  Google Scholar 

  6. Bannerman, R.L., et al.: Orienting to threat: faster localization of fearful facial expressions and body postures revealed by saccadic eye movements. Proceedings of the Royal Society B 276, 1635–1641 (2009)

    CrossRef  Google Scholar 

  7. FLASH: Flexible LIREC Autonomous Social Helper (2013), http://flash.lirec.ict.pwr.wroc.pl

  8. Kędzierski, J., Janiak, M.: Budowa robota spolecznego FLASH. Prace Naukowe - Politechnika Warszawska (2012) (in Polish)

    Google Scholar 

  9. Kc̨dzierski, J., et al.: EMYS - emotive head of a social robot. International Journal of Social Robotics 5(2), 237–249 (2013)

    Google Scholar 

  10. SMI: Mobile eye-tracker, SensoMotoric Instruments (2013), http://www.smivision.com/

  11. Simply User: Homepage (2013), http://www.simplyuser.pl

  12. Groves, R.M., et al.: Survey Methodology. John Wiley & Sons, New Jersey (2009)

    Google Scholar 

  13. Hesse-Biber, S.N., Leavy, P.: The Practice of Qualitative Research. SAGE, Los Angeles (2008)

    Google Scholar 

  14. Cerf, M., et al.: Faces and text attract gaze independent of the task: Experimental data and computer model. Journal of Vision 9(12), 1–15 (2009)

    CrossRef  Google Scholar 

  15. Snow, J., et al.: Impaired visual scanning and memory for faces in high-functioning autism spectrum disorders: It’s not just the eyes. Journal of the International Neuropsychological Society 17(6), 1021–1029 (2011)

    CrossRef  Google Scholar 

  16. Perlman, S.B., et al.: Individual differences in personality predict how people look at faces. PLoS ONE 4(6), 1–6 (2009)

    CrossRef  Google Scholar 

  17. Wiese, E., Wykowska, A., Zwickel, J., Müller, H.J.: I See What You Mean: How Attentional Selection Is Shaped by Ascribing Intentions to Others. PLoS ONE 7, 1–9 (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dziergwa, M., Frontkiewicz, M., Kaczmarek, P., Kędzierski, J., Zagdańska, M. (2013). Study of a Social Robot’s Appearance Using Interviews and a Mobile Eye-Tracking Device. In: Herrmann, G., Pearson, M.J., Lenz, A., Bremner, P., Spiers, A., Leonards, U. (eds) Social Robotics. ICSR 2013. Lecture Notes in Computer Science(), vol 8239. Springer, Cham. https://doi.org/10.1007/978-3-319-02675-6_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02675-6_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02674-9

  • Online ISBN: 978-3-319-02675-6

  • eBook Packages: Computer ScienceComputer Science (R0)