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Selecting When Acting: How Human Perception Is Tuned to Action Goals and How Robotics Can Benefit from That

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Social Robotics (ICSR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6414))

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Abstract

This paper reviews theoretical perspectives and empirical evidence speaking in favor of a close link between action control and perceptual selection in humans. Results from behavioural studies, neuro-imaging, human electrophysiology as well as single-cell studies in monkeys are described. These data as well as theories are brought forward to argue that close connection between action and perception should be considered in designs of artificial systems. Examples of such systems are described and the application of those approaches to robotics is stressed.

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Author information

Authors and Affiliations

  1. Department of Psychology, Experimental Psychology Unit, Ludwig-Maximilians Universität, Leopoldstr. 13, 80802, München, Germany

    Agnieszka Wykowska & Anna Schubö

Authors
  1. Agnieszka Wykowska
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  2. Anna Schubö
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Editor information

Editors and Affiliations

  1. Social Robotics Lab, Interactive Digital Media Institute, and Edutainment Robotics Lab Department of Electrical and Computer Engineering, National University of Singapore, 117576, Singapore

    Shuzhi Sam Ge

  2. Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613, Singapore

    Haizhou Li

  3. National University of Singapore, Singapore

    John-John Cabibihan

  4. Institute for Infocomm Research, Agency for Science, Technology and Research (A*Star),, 1 Fusionopolis Way, #08-05, Connexis (South Tower), Singapore

    Yeow Kee Tan

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Wykowska, A., Schubö, A. (2010). Selecting When Acting: How Human Perception Is Tuned to Action Goals and How Robotics Can Benefit from That. In: Ge, S.S., Li, H., Cabibihan, JJ., Tan, Y.K. (eds) Social Robotics. ICSR 2010. Lecture Notes in Computer Science(), vol 6414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17248-9_29

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  • DOI: https://doi.org/10.1007/978-3-642-17248-9_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17247-2

  • Online ISBN: 978-3-642-17248-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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