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International Conference on Intelligent Virtual Agents

IVA 2016: Intelligent Virtual Agents pp 295–305Cite as

An Architecture for Biologically Grounded Real-Time Reflexive Behavior

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10011))

Abstract

In this paper, we present a reflexive behavior architecture, that is geared towards the application in the control of the non-verbal behavior of the virtual humans in a public speaking training system. The model is organized along the distinction between behavior triggers that are internal (endogenous) to the agent, and those that origin in the environment (exogenous). The endogenous subsystem controls gaze behavior, triggers self-adaptors, and shifts between different postures, while the exogenous system controls the reaction towards auditory stimuli with different temporal and valence characteristics. We evaluate the different components empirically by letting participants compare the output of the proposed system to valid alternative variations.

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Notes

  1. 1.

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Acknowledgments

This work was partially supported by “Moving Stories” Canadian SSHRC grant.

Author information

Authors and Affiliations

  1. School of Interactive Arts and Technology, Simon Fraser University Vancouver, Vancouver, Canada

    Ulysses Bernardet & Steve DiPaola

  2. Institute for Creative Technologies, University of Southern California, Los Angeles, CA, USA

    Mathieu Chollet & Stefan Scherer

Authors
  1. Ulysses Bernardet
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  2. Mathieu Chollet
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  3. Steve DiPaola
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  4. Stefan Scherer
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Corresponding author

Correspondence to Ulysses Bernardet .

Editor information

Editors and Affiliations

  1. University of Southern California, Los Angeles, California, USA

    David Traum

  2. University of Southern California, Los Angeles, California, USA

    William Swartout

  3. US Army Research Laboratory, Los Angeles, California, USA

    Peter Khooshabeh

  4. Universität Bielefeld, Bielefeld, Nordrhein-Westfalen, Germany

    Stefan Kopp

  5. University of Southern California, Los Angeles, California, USA

    Stefan Scherer

  6. University of Southern California, Los Angeles, California, USA

    Anton Leuski

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© 2016 Springer International Publishing AG

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Bernardet, U., Chollet, M., DiPaola, S., Scherer, S. (2016). An Architecture for Biologically Grounded Real-Time Reflexive Behavior. In: Traum, D., Swartout, W., Khooshabeh, P., Kopp, S., Scherer, S., Leuski, A. (eds) Intelligent Virtual Agents. IVA 2016. Lecture Notes in Computer Science(), vol 10011. Springer, Cham. https://doi.org/10.1007/978-3-319-47665-0_26

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  • DOI: https://doi.org/10.1007/978-3-319-47665-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47664-3

  • Online ISBN: 978-3-319-47665-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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