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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
- 10.
- 11.
References
Anderson, K., et al.: The TARDIS framework: intelligent virtual agents for social coaching in job interviews. In: Reidsma, D., Katayose, H., Nijholt, A. (eds.) ACE 2013. LNCS, vol. 8253, pp. 476–491. Springer, Cham (2013). https://doi.org/10.1007/978-3-319-03161-3_35
Bertram, J., Moskaliuk, J., Cress, U.: Virtual training: making reality work? Comput. Hum. Behav. 43, 284–292 (2015)
Bosse, T., Gerritsen, C., de Man, J.: An intelligent system for aggression de-escalation training. In: ECAI, pp. 1805–1811 (2016)
Bosse, T., Provoost, S.: Integrating conversation trees and cognitive models within an ECA for aggression de-escalation training. In: Chen, Q., Torroni, P., Villata, S., Hsu, J., Omicini, A. (eds.) PRIMA 2015. LNCS (LNAI), vol. 9387, pp. 650–659. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25524-8_48
Boucsein, W.: Electrodermal Activity. Springer, Boston (2012). https://doi.org/10.1007/978-1-4614-1126-0
Chittaro, L., Sioni, R.: Affective computing vs. affective placebo: study of a biofeedback-controlled game for relaxation training. Int. J. Hum.-Comput. Stud. 72(8), 663–673 (2014)
Chollet, M., Stefanov, K., Prendinger, H., Scherer, S.: Public speaking training with a multimodal interactive virtual audience framework. In: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, pp. 367–368. ACM (2015)
Dillon, A., Kelly, M., Robertson, I.H., Robertson, D.A.: Smartphone applications utilizing biofeedback can aid stress reduction. Front. Psychol. 7, 832 (2016)
Gebhard, P., Baur, T., Damian, I., Mehlmann, G., Wagner, J., André, E.: Exploring interaction strategies for virtual characters to induce stress in simulated job interviews. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems, pp. 661–668. International Foundation for Autonomous Agents and Multiagent Systems (2014)
Goedschalk, L., Bosse, T., Otte, M.: Get your virtual hands off me! – developing threatening IVAs using haptic feedback. In: Verheij, B., Wiering, M. (eds.) BNAIC 2017. CCIS, vol. 823, pp. 61–75. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76892-2_5
Hartanto, D., Kampmann, I.L., Morina, N., Emmelkamp, P.G., Neerincx, M.A., Brinkman, W.P.: Controlling social stress in virtual reality environments. PLoS One 9(3), e92804 (2014)
Kenny, P., Hartholt, A., Gratch, J., Swartout, W., Traum, D., Marsella, S., Piepol, D.: Building interactive virtual humans for training environments. In: Proceedings of I/ITSEC, vol. 174 (2007)
Krijn, M., Emmelkamp, P.M., Olafsson, R.P., Biemond, R.: Virtual reality exposure therapy of anxiety disorders: a review. Clin. Psychol. Rev. 24(3), 259–281 (2004)
Muñoz, J.E., Paulino, T., Vasanth, H., Baras, K.: PhysioVR: a novel mobile virtual reality framework for physiological computing. In: 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), pp. 1–6. IEEE (2016)
Pallavicini, F., Argenton, L., Toniazzi, N., Aceti, L., Mantovani, F.: Virtual reality applications for stress management training in the military. Aerosp. Med. Hum. Perform. 87(12), 1021–1030 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-94580-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94579-8
Online ISBN: 978-3-319-94580-4
eBook Packages: Computer ScienceComputer Science (R0)