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Does Observing Artificial Robotic Systems Influence Human Perceptual Processing in the Same Way as Observing Humans?

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Social Robotics (ICSR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7621))

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Abstract

Humanoid robots are designed and shaped to have physical bodies resembling humans. The anthropomorphic shape is aiming at facilitating interactions between humans and robots with the ultimate goal of making robots acceptable social partners. This attempt is not very new to roboticists and there is an increasing body of research showing the importance of robots’ appearance in HRI; the Uncanny Valley proposed in the 70’s [1] is however still an open problem. Our aim in this contribution is to examine how human perceptual mechanisms involved in action observation are influenced by the external shape of observed robots. Our present results show that observing robotic/cartoon hands performing grasping/pointing movements elicits similar perceptual mechanisms as observing other humans. Hence, it seems that observing actions of artificial systems can induce similar perceptual effects as observing actions of humans.

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References

  1. Mori, M.: Bukimi no tani The uncanny valley (K. F. MacDorman & T. Minato, Trans.). Energy 7(4), 33–35 (1970) (originally in Japanese)

    Google Scholar 

  2. Sternberg, S.: The discovery of processing stages: Extensions of Donders’ method. In: Koster, W.G. (ed.) Attention and Performance II. Acta Psychol., vol. 30, pp. 276–315 (1969)

    Google Scholar 

  3. Hommel, B., Müsseler, J., Aschersleben, G., Prinz, W.: The theory of event coding (TEC): A framework for perception and action planning. Behav. Brain Sci. 24, 849–878 (2001)

    Article  Google Scholar 

  4. Prinz, W.: Perception and action planning. Eur. J. Cogn. Psychol. 9, 129–154 (1997)

    Article  Google Scholar 

  5. Hommel, B.: Grounding attention in action control: The intentional control of selection. In: Bruya, B.J. (ed.) Effortless Attention: A New Perspective in the Cognitive Science of Attention and Action, pp. 121–140. MIT Press, Cambridge (2010)

    Google Scholar 

  6. Wykowska, A., Schubö, A., Hommel, B.: How you move is what you see: Action planning biases selection in visual search. J. Exp. Psychol. Human 35, 1755–1769 (2009)

    Article  Google Scholar 

  7. Wykowska, A., Hommel, B., Schubö, A.: Action-induced effects on perception depend neither on element-level nor on set-level similarity between stimulus and response sets. Atten. Percept. Psycho. 73, 1034–1041 (2011)

    Article  Google Scholar 

  8. Schubotz, R.I., von Cramon, D.Y.: Predicting perceptual events activates corresponding motor schemes in lateral premotor cortex: An fMRI study. Neuroimage 15, 787–796 (2002)

    Article  Google Scholar 

  9. Rizzolatti, G., Craighero, L.: The Mirror-Neuron System. Annu. Rev. Neurosci. 27, 169–192 (2004)

    Article  Google Scholar 

  10. Rizzolatti, G., Fogassi, L., Gallese, V.: Neurophysiological mechanisms underlying the understanding and imitation of action. Nat. Rev. Neurosci. 2, 661–670 (2001)

    Article  Google Scholar 

  11. Gallese, V., Goldman, A.: Mirror neurons and the simulation theory of mind-reading. Trends Cogn. Sci. 2, 493–501 (1998)

    Article  Google Scholar 

  12. Carr, L., Iacoboni, M., Dubeau, M.-C., Mazziotta, J.C., Lenzi, G.L.: Neural mechanisms of empathy in humans: a relay from neural systems for imitation to limbic areas. P. Natl. Acad. Sci. USA 100, 5497–5502 (2003)

    Article  Google Scholar 

  13. Fagioli, S., Hommel, B., Schubotz, R.I.: Intentional control of attention: Action planning primes action related stimulus dimensions. Psychol. Res. 71, 22–29 (2007)

    Article  Google Scholar 

  14. Oberman, L.M., McCmeery, J.P., Ramachandran, V.S., Pineda, J.A.: EEG evidence for mirror neuron activity during the observation of human and robot actions: Toward an analysis of the human qualities of interactive robots. Neurocomputing 70, 2194–2203 (2007)

    Article  Google Scholar 

  15. Oztop, E., Franklin, D.W., Chaminade, T., Cheng, G.: Human–humanoid interaction: Is a humanoid robot perceived as a human? Int. J. Hum. Robot. 2, 537–559 (2005)

    Article  Google Scholar 

  16. Chun, M.M., Wolfe, J.M.: Just Say No: How Are Visual Searches Terminated When There Is No Target Present? Cognitive Psychol. 30, 39–78 (1996)

    Article  Google Scholar 

  17. Found, A., Müller, H.J.: Searching for unknown feature targets on more than one dimension: Investigating a ‘dimension weighting’ account. Percept. Psychophys. 58, 88–101 (1996)

    Article  Google Scholar 

  18. Schubö, A., Schröger, E., Meinecke, C.: Texture segmentation and visual search for pop-out targets. Cognit. Brain Res. 21, 317–334 (2004)

    Article  Google Scholar 

  19. Schubö, A., Wykowska, A., Müller, H.J.: Detecting pop-out targets in contexts of varying homogeneity: Investigating homogeneity coding with event-related brain potentials (ERPs). Brain Res. 1138, 136–147 (2007)

    Article  Google Scholar 

  20. Matarić, M.J.: Socially assistive robotics. In: Coradeschi, S., et al. (eds.) Human-Inspired Robots (2006); IEEE Intelligent Systems, 81-83

    Google Scholar 

  21. Bartneck, C., Kanda, T., Ishiguro, H., Hagita, N.: Is the Uncanny Valley an Uncanny Cliff? In: Proceedings of the 16th IEEE, RO-MAN 2007, Jeju, Korea, pp. 368–373 (2007)

    Google Scholar 

  22. Brenton, H., Gillies, M., Ballin, D., Chatting, D.: The Uncanny Valley: does it exist? Paper Presented at HCI 2005, Animated Characters Interaction Workshop, Edinburgh, Napier University (2005)

    Google Scholar 

  23. MacDorman, K.: Subjective ratings of robot video clips for human-likeness, familiarity, and eeriness: An exploration of the uncanny valley. In: Proceedings of the ICCS/CogSci 2006 Long Symposium: Toward Social Mechanisms of Android Science, Vancouver, Canada, pp. 26–29 (July 2006)

    Google Scholar 

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Wykowska, A., Chellali, R., Al-Amin, M.M., Müller, H.J. (2012). Does Observing Artificial Robotic Systems Influence Human Perceptual Processing in the Same Way as Observing Humans?. In: Ge, S.S., Khatib, O., Cabibihan, JJ., Simmons, R., Williams, MA. (eds) Social Robotics. ICSR 2012. Lecture Notes in Computer Science(), vol 7621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34103-8_33

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  • DOI: https://doi.org/10.1007/978-3-642-34103-8_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34102-1

  • Online ISBN: 978-3-642-34103-8

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