REALISM IN RECOVRY: The Effect of Recorded (360°) and Computer Generated (CG) Environments and Humans in Virtual Reality Exposure Therapy (VRET)

Marnix S. Gisbergen (), Klara Obermair, Laura Iasonna, Miruna Doicaru, Shima R. Rashnoodi, Fabio Campos and Victor J. A. Buwalda ()
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Marnix S. Gisbergen: BUAS - Breda University of Applied Sciences
Klara Obermair: BUAS - Breda University of Applied Sciences
Laura Iasonna: BUAS - Breda University of Applied Sciences
Miruna Doicaru: BUAS - Breda University of Applied Sciences
Shima R. Rashnoodi: BUAS - Breda University of Applied Sciences
Fabio Campos: BUAS - Breda University of Applied Sciences
Victor J. A. Buwalda: Novadic-Kentron

A chapter in XR and Metaverse, 2024, pp 61-73 from Springer

Abstract: Abstract Virtual reality exposure therapy (VRET) is used to help patients that suffer from AUD (Alcohol Use Disorder) to create coping mechanisms for situations in real life that cause craving, by means of creating virtual environments that feel real and immersive during treatment. However, it is unclear what VR technologies should be used to create these virtual worlds and whether implementing virtual humans in it makes them more efficient. Twenty-eight interviews with (former) AUD patients and UAD-health specialists, reveal that 360o recorded as well as Computer Generated (CG) technologies can be used to create an effective VRET that elicits craving and relaxation based on immersion and presence. The use of 360o technologies seem to create more realism compared to CG, but this differs per patient and situation. Adding virtual humans in VRET increases feelings of craving, although the added value depends on the personal context and past of the patient. As such, it is recommended to create a graded exposure strategy based on both technologies and the option to experience virtual humans that directly or indirectly provide an invitation to drink.

Keywords: Virtual Reality Exposure Therapy (VRET); Realism; Virtual humans; Alcohol addiction (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-3-031-50559-1_5

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