How Can a Robot Attract the Attention of Its Human Partner? A Comparative Study over Different Modalities for Attracting Attention

  • Elena Torta
  • Jim van Heumen
  • Raymond H. Cuijpers
  • James F. Juola
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7621)

Abstract

One of the most common tasks of a robot companion in the home is communication. In order to initiate an information exchange with its human partner, the robot needs to attract the attention of the human. This paper presents results of a user study (N=12) with elderly people (62 - 70 years) to evaluate different modalities for attracting attention. Results show that actions which involve sound generate the fastest reaction times and are better perceived by participants. Surprisingly attempting to attract attention by establishing eye-contact resulted in worse participants’ perception. We interpret these results as that robot gazing behaviour is better suited for situations in which the user’s focus of visual attention is already on the robot.

Keywords

Attracting Attention Human-robot interaction Smart homes Speech Eye-contact Facial expression 

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References

  1. 1.
    Bartneck, C., Kuli, D., Croft, E., Zoghbi, S.: Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics 1, 71–81 (2009)CrossRefGoogle Scholar
  2. 2.
    Carone, G., Costello, D.: Can europe afford to grow old? International Monetary Fund Finance and Development Magazine (2006)Google Scholar
  3. 3.
    Cesta, A., Cortellessa, G., Giuliani, V., Pecora, F., Rasconi, R., Scopelliti, M., Tiberio, L.: Proactive Assistive Technology: An Empirical Study. In: Baranauskas, C., Abascal, J., Barbosa, S.D. (eds.) INTERACT 2007. LNCS, vol. 4662, pp. 255–268. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  4. 4.
    Chidambaram, V., Chiang, Y.H., Mutlu, B.: Designing persuasive robots: How robots might persuade people using vocal and nonverbal cues (2012)Google Scholar
  5. 5.
    Dautenhahn, K.: Socially intelligent robots: dimensions of human robot interaction. Philosophical Transactions of the Royal Society B: Biological Sciences 362(1480), 679–704 (2007)CrossRefGoogle Scholar
  6. 6.
    Feil-Seifer, D., Mataric, M.J.: Defining socially assistive robotics. In: 9th International Conference on Rehabilitation Robotics, ICORR 2005, June 28-July 1, pp. 465–468 (2005)Google Scholar
  7. 7.
    Field, A.P.: Discovering Statistics Using SPSS. SAGE Publications Ltd. (2009)Google Scholar
  8. 8.
    Friedman, B., Kahn Jr., P.H., Hagman, J.: Hardware companions?: what online aibo discussion forums reveal about the human-robotic relationship. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2003, pp. 273–280. ACM, New York (2003)Google Scholar
  9. 9.
    Ham, J., Bokhorst, R., Cuijpers, R., van der Pol, D., Cabibihan, J.-J.: Making Robots Persuasive: The Influence of Combining Persuasive Strategies (Gazing and Gestures) by a Storytelling Robot on Its Persuasive Power. In: Mutlu, B., Bartneck, C., Ham, J., Evers, V., Kanda, T. (eds.) ICSR 2011. LNCS, vol. 7072, pp. 71–83. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  10. 10.
    Hewitt, P.S.: Depopulation and ageing in europe and japan the hazardous transition to a labor shortage economy. Internationale Politik Und Gesellschaft, Part 1, 111–120 (2002)Google Scholar
  11. 11.
    Hoque, M.M., Onuki, T., Kobayashi, Y., Kuno, Y.: Controlling human attention through robot’s gaze behaviors. In: 2011 4th International Conference on Human System Interactions (HSI), pp. 195–202. IEEE (2011)Google Scholar
  12. 12.
    Kirby, R.: Social Robot Navigation. PhD thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA (May 2010)Google Scholar
  13. 13.
    Lee, K.M., Jung, Y., Kim, J., Kim, S.R.: Are physically embodied social agents better than disembodied social agents?: The effects of physical embodiment, tactile interaction, and people’s loneliness in human robot interaction. International Journal of Human-Computer Studies 64(10), 962–973 (2006)CrossRefGoogle Scholar
  14. 14.
    Mutlu, B., Kanda, T., Forlizzi, J., Hodgins, J., Ishiguro, H.: Conversational gaze mechanisms for humanlike robots. ACM Trans. Interact. Intell. Syst. 1(2), 12:1–12:33 (2012)CrossRefGoogle Scholar
  15. 15.
    Odgaard, E., Arieh, Y., Marks, L.: Brighter noise: Sensory enhancement of perceived loudness by concurrent visual stimulation. Cognitive, Affective, and Behavioral Neuroscience 4, 127–132 (2004)CrossRefGoogle Scholar
  16. 16.
    Reevs, B., Nass, C.: The media equation: how people trat computers, television and new media like real people and places. Cambridge University Press, New York (1996)Google Scholar
  17. 17.
    Salem, M., Eyssel, F., Rohlfing, K., Kopp, S., Joublin, F.: Effects of Gesture on the Perception of Psychological Anthropomorphism: A Case Study with a Humanoid Robot. In: Mutlu, B., Bartneck, C., Ham, J., Evers, V., Kanda, T. (eds.) ICSR 2011. LNCS, vol. 7072, pp. 31–41. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  18. 18.
    Clair, A.S., Mead, R., Mataric, M.J.: Investigating the effects of visual saliency on deictic gesture production by a humanoid robot. In: RO-MAN, 2011 IEEE, August 3-31, pp. 210–216 (2011)Google Scholar
  19. 19.
    Steg, H., Strese, H., Loroff, C., Hull, J., Schmidt, S.: Europe is facing a demographic challenge ambient assisted living offers solutions (2006)Google Scholar
  20. 20.
    Tapia, E.M., Intille, S.S., Larson, K.: Activity Recognition in the Home Using Simple and Ubiquitous Sensors. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 158–175. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  21. 21.
    Tapus, A., Matari, M.J., Scassellati, B.: The grand challenges in socially assistive robotics. Robotics and Automation Magazine 14(1), 1–7 (2007)CrossRefGoogle Scholar
  22. 22.
    Torta, E., Cuijpers, R.H., Juola, J.F., van der Pol, D.: Design of Robust Robotic Proxemic Behaviour. In: Mutlu, B., Bartneck, C., Ham, J., Evers, V., Kanda, T. (eds.) ICSR 2011. LNCS, vol. 7072, pp. 21–30. Springer, Heidelberg (2011)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Elena Torta
    • 1
  • Jim van Heumen
    • 1
  • Raymond H. Cuijpers
    • 1
  • James F. Juola
    • 1
  1. 1.Eindhoven University of TechnologyEindhovenThe Netherlands

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