Abstract
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.
Author Information
Kuei-Yuan Chang, National Yunlin University of Science and Technology, Taiwan
Chang-Franw Lee, National Yunlin University of Science and Technology, Taiwan
Paper Information
Conference: ACAH2024
Stream: Aesthetics
This paper is part of the ACAH2024 Conference Proceedings (View)
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To cite this article:
Chang K., & Lee C. (2024) Designing Virtual Restorative Environment With Generative AI: Hardware and Design Considerations ISSN: 2186-229X – The Asian Conference on Arts & Humanities 2024 Official Conference Proceedings (pp. 275-285) https://doi.org/10.22492/issn.2186-229X.2024.26
To link to this article: https://doi.org/10.22492/issn.2186-229X.2024.26
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