Hartanto, Dwi; Brinkman, Willem-Paul; Kampmann, I.L. (Isabel); Morina, N. (Nexhmedin); Emmelkamp, P.M.G. (Paul) et. al. (2019): Data underlying the publication: Home-Based Virtual Reality Exposure Therapy with Virtual Health Agent Support. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:7b156353-31a5-4935-ab87-da98dee36717

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Categories

• Artificial Intelligence and Image Processing
• Computer Software and Services

Keywords

behaviour change support system dissertation self-therapy social anxiety disorder virtual coach virtual health agent Virtual reality therapy, virtual coach, virtual health agent, behaviour change support system, social anxiety disorder, self-therapy.

Licence

CC0

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by Dwi Hartanto , Willem-Paul Brinkman , I.L. (Isabel) Kampmann , N. (Nexhmedin) Morina , P.M.G. (Paul) Emmelkamp , M.A. (Mark) Neerincx

To increase the accessibility and efficiency of virtual reality exposure therapy (VRET) this paper proposes a system for home-based use where patients with social phobia are supported by a virtual health agent. We present an overview of our system design, and discuss key techniques such as (1) dialogue techniques to create automated free speech dialogue between virtual characters and patients in virtual reality worlds; (2) a multi-modal automatic anxiety feedback-loop mechanism to control patients’ anxiety level; and (3) motivational techniques applied by a virtual health agent. The system was evaluated in a pilot study where five patients with social phobia utilized our home-based VRET system. The results showed that the system was able to evoke the required anxiety in patients and that over time self-reported anxiety and heart rate gradually decreased as expected in exposure therapy.

History

• 2019-07-29 first online, published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/x-spss-sav, application/zip, text/csv, text/plain

References

• https://doi.org/10.1007/978-3-319-32270-4_9
• https://doi.org/10.4233/uuid:7a58d495-6045-4f4c-a19e-3850d2c26a12

Funding

• Netherlands Organization for Scientific Research, 655.010.207

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems;
University of Amsterdam