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Conquer Catharsis – A VR Environment for Anxiety Treatment of Children and Adolescents

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Entertainment Computing – ICEC 2020 (ICEC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12523))

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Abstract

In this paper we present a novel VR-based tool for the treatment of anxiety disorders for children and adolescents. The tool consists of a photo-realistic VR game, together with a biofeedback device, and a second screen for enabling interventions for the practitioner. We describe the tool, how we measure and use biofeedback, and evaluate the sense of felt presence of a group of experimental participants.

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References

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Author information

Authors and Affiliations

  1. University of Vienna, Entertainment Computing, Vienna, Austria

    Andreas Lenz & Helmut Hlavacs

  2. Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria

    Oswald Kothgassner

  3. Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria

    Anna Felnhofer

Authors
  1. Andreas Lenz
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  2. Helmut Hlavacs
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  3. Oswald Kothgassner
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  4. Anna Felnhofer
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Corresponding author

Correspondence to Helmut Hlavacs .

Editor information

Editors and Affiliations

  1. University of Lisbon, Lisbon, Portugal

    Nuno J. Nunes

  2. Shanghai Jiao Tong University, Shanghai, China

    Lizhuang Ma

  3. Northwest A&F University, Xianyang, China

    Meili Wang

  4. Universidade Nova de Lisboa, Lisbon, Portugal

    Nuno Correia

  5. Hangzhou Normal University, Hangzhou, China

    Zhigeng Pan

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Lenz, A., Hlavacs, H., Kothgassner, O., Felnhofer, A. (2020). Conquer Catharsis – A VR Environment for Anxiety Treatment of Children and Adolescents. In: Nunes, N.J., Ma, L., Wang, M., Correia, N., Pan, Z. (eds) Entertainment Computing – ICEC 2020. ICEC 2020. Lecture Notes in Computer Science(), vol 12523. Springer, Cham. https://doi.org/10.1007/978-3-030-65736-9_14

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  • DOI: https://doi.org/10.1007/978-3-030-65736-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65735-2

  • Online ISBN: 978-3-030-65736-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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