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Social Gaze Model for an Interactive Virtual Character

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Intelligent Virtual Agents (IVA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10498))

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Abstract

This paper describes a live demo of our autonomous social gaze model for an interactive virtual character situated in the real world. We are interested in estimating which user has an intention to interact, in other words which user is engaged with the virtual character. The model takes into account behavioral cues such as proximity, velocity, posture and sound, estimates an engagement score and drives the gaze behavior of the virtual character. Initially, we assign equal weights to these features. Using data collected in a real setting, we analyze which features have higher importance. We found that the model with weighted features correlates better with the ground-truth data.

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Author information

Authors and Affiliations

  1. Utrecht University, Princetonplein 5, de Uithof, Utrecht, Netherlands

    Bram van den Brink,  Christyowidiasmoro & Zerrin Yumak

Authors
  1. Bram van den Brink
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  2. Christyowidiasmoro
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  3. Zerrin Yumak
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Corresponding author

Correspondence to Zerrin Yumak .

Editor information

Editors and Affiliations

  1. KTH Royal Institute of Technology, Stockholm, Sweden

    Jonas Beskow

  2. KTH Royal Institute of Technology, Stockholm, Sweden

    Christopher Peters

  3. Uppsala University, Uppsala, Sweden

    Ginevra Castellano

  4. Trinity College, Dublin, Ireland

    Carol O'Sullivan

  5. KTH Royal Institute of Technology, Stockholm, Sweden

    Iolanda Leite

  6. University of Bielefeld, Bielefeld, Germany

    Stefan Kopp

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van den Brink, B., Christyowidiasmoro, Yumak, Z. (2017). Social Gaze Model for an Interactive Virtual Character. In: Beskow, J., Peters, C., Castellano, G., O'Sullivan, C., Leite, I., Kopp, S. (eds) Intelligent Virtual Agents. IVA 2017. Lecture Notes in Computer Science(), vol 10498. Springer, Cham. https://doi.org/10.1007/978-3-319-67401-8_56

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  • DOI: https://doi.org/10.1007/978-3-319-67401-8_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67400-1

  • Online ISBN: 978-3-319-67401-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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