In today's fast-paced world, effective relaxation strategies are crucial for alleviating psychological stress and enhancing productivity. The theory of restorative environments is gaining acceptance, yet many, like those in high-stress jobs or with mobility issues, find it challenging to implement. To address the issue of accessibility, Virtual Reality Exposure Therapy (VRET) has been developed. This study identifies that current VRET applications, despite utilizing immersive technology to achieve virtualization and remote accessibility, still struggle with issues like unidirectional content and lack of personalization. To fill this gap, this study focuses on the capabilities of Generative AI, particularly in personalization, diversity, engagement, and inclusivity, showing significant potential in addressing cultural and aesthetic variety. Based on the foundation of Virtual Reality Exposure Therapy (VRET) and Restorative Environment Theory, this study aims to incorporate insights from experts and developers to establish the prerequisites, effectiveness, and design strategies for integrating generative AI in virtual restorative environments. The anticipated outcome is to fulfill more personalized psychological needs and create well-being for a broader audience.

Authors:
Kuei-Yuan Chang, National Yunlin University of Science and Technology, Taiwan
Chang-Franw Lee, National Yunlin University of Science and Technology, Taiwan

About the Presenter(s)
Mr Kuei-Yuan Chang is a University Doctoral Student at National Yunlin University of Science and Technology in Taiwan

See this presentation on the full schedule – Sunday Schedule

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