Interactivity in VR Therapy: Assessing Efficacy Across Acrophobia Severity
- 1 Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak (UNIMAS), 94300, Kota Samarahan, Sarawak, Malaysia
- 2 Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak (UNIMAS), 94300, Kota Samarahan, Sarawak, Malaysia
- 3 Faculty of Computing and Software Engineering, i-CATS University College, Jalan Stampin Timur, 93350, Kuching, Sarawak, Malaysia
- 4 Department of Surgery, Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS), 94300, Kota Samarahan, Sarawak, Malaysia
Abstract
Virtual Reality (VR) and Artificial Intelligence (AI) have gained popularity in medical treatments, including for acrophobia- a common but often untreated fear of heights. Traditional therapies are often expensive and complex, making VR therapy a convenient and safe alternative. This study evaluates the efficacy of an AI-augmented interactivity VR therapy for acrophobia, focusing on user satisfaction and treatment outcomes. Graded exposure VR therapy was used where participants were gradually exposed to VR environments tailored to their severity levels of acrophobia, guided by an AI agent based on the Behavioral Avoidance Test (BAT). Participants engaged in interactive tasks such as collecting flowers or coins, enhancing immersion and reducing anxiety. The participants were included based on the visual Height Intolerance Severity Scale (vHISS), which measured post-therapy fear levels with the Attitudes Towards Heights Questionnaire (ATHQ). Results showed a significant decrease in anxiety levels, with ATHQ scores dropping by an average of 25% across all severity groups (p<0.05). These findings suggest that AI-augmented VR therapy is a promising tool for treating acrophobia. Future research should explore optimizing interactivity to maximize therapeutic effectiveness for various severity levels.
DOI: https://doi.org/10.3844/jcssp.2025.1015.1027
Copyright: © 2025 Chiew Mei Chan, Soo See Chai, Kok Luong Goh and Sze Kiat Sim. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Virtual Reality
- Artificial Intelligence
- Acrophobia
- Biophysical Measurement
- Interactivity