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Using Run-Time Biofeedback During Virtual Agent-Based Aggression De-escalation Training

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection (PAAMS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10978))

Abstract

This exploratory study discusses how biofeedback can be displayed and used in the context of virtual agent-based social skills training. Using Virtual Reality, a prototype of an aggression de-escalation training application has been developed. The application simulates an adaptive scenario in which the user interacts with a threatening virtual conversation partner. The stress level of the user, which is displayed at run-time, influences the development of the scenario. A pilot experiment is conducted to test the impact of the application on users’ subjective experience (measured through a questionnaire) and physiological response (measured through skin conductance). Although preliminary, the results seem to indicate that biofeedback potentially contributes to enhancing the user’s awareness of his/her own emotional state. Implications for the use of biofeedback within virtual training applications are discussed.

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Notes

  1. 1.

    pages.samsung.com/ca/launchingpeople/English.

  2. 2.

    guidedmeditationvr.com.

  3. 3.

    www.exploredeep.com.

  4. 4.

    themill.com/portfolio/3409/strata-?q=strata.

  5. 5.

    www.eco-fusion.com/serenita.

  6. 6.

    biofeedbackinternational.com/esense.

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    play.google.com/store/apps/details?id=com.azumio.android.stresscheck&hl=en.

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    unity3d.com.

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    audacityteam.org.

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    reallusion.com.

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    www.oculus.com/rift.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Vrije Universiteit Amsterdam, De Boelelaan 1081a, 1081 HV, Amsterdam, The Netherlands

    Romy A. M. Blankendaal & Tibor Bosse

Authors
  1. Romy A. M. Blankendaal
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  2. Tibor Bosse
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Corresponding author

Correspondence to Romy A. M. Blankendaal .

Editor information

Editors and Affiliations

  1. Centre National de la Recherche Scientifique, Grenoble, France

    Yves Demazeau

  2. Nanyang Technological University, Singapore, Singapore

    Bo An

  3. Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  4. Universidad de Castilla La Mancha, Albacete, Spain

    Antonio Fernández-Caballero

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Blankendaal, R.A.M., Bosse, T. (2018). Using Run-Time Biofeedback During Virtual Agent-Based Aggression De-escalation Training. In: Demazeau, Y., An, B., Bajo, J., Fernández-Caballero, A. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Lecture Notes in Computer Science(), vol 10978. Springer, Cham. https://doi.org/10.1007/978-3-319-94580-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-94580-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94579-8

  • Online ISBN: 978-3-319-94580-4

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