Design and Evaluation of a Generative AI-Driven VR Texturing Tool: A Design Science Approach

The integration of generative AI (GenAI) with virtual reality (VR) offers new opportunities for the automotive industry to enhance customer engagement by enabling customizable textures for 3D car models and sharing them within VR. However, creating textures for VR platforms remains challenging due to the expertise required for traditional texturing tools and the limited customization options VR platforms provide. This study introduces GenVRTex, a GenAI-driven VR texturing tool that helps novice users generate high-quality textures through text prompts and drawings. Developed through a Design Science Research approach in collaboration with an industrial partner, GenVRTex incorporates ten design guidelines addressing user interaction, prompt control, and texture creation. A qualitative evaluation with nine designers inexperienced in VR texturing confirmed the tool's usability and effectiveness while highlighting potential improvements, including multimodal inputs and iterative GenAI input-output management. This research provides insights into GenAI-VR integration from an HCI perspective and outlines future research directions.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-06-18
Primary Topic
Virtual Reality Applications and Impacts
Type
article
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article

Design and Evaluation of a Generative AI-Driven VR Texturing Tool: A Design Science Approach

Journal of the Association for Information Systems
Virtual Reality Applications and Impacts
article

Design and Evaluation of a Generative AI-Driven VR Texturing Tool: A Design Science Approach

article en

Abstract

The integration of generative AI (GenAI) with virtual reality (VR) offers new opportunities for the automotive industry to enhance customer engagement by enabling customizable textures for 3D car models and sharing them within VR. However, creating textures for VR platforms remains challenging due to the expertise required for traditional texturing tools and the limited customization options VR platforms provide. This study introduces GenVRTex, a GenAI-driven VR texturing tool that helps novice users generate high-quality textures through text prompts and drawings. Developed through a Design Science Research approach in collaboration with an industrial partner, GenVRTex incorporates ten design guidelines addressing user interaction, prompt control, and texture creation. A qualitative evaluation with nine designers inexperienced in VR texturing confirmed the tool's usability and effectiveness while highlighting potential improvements, including multimodal inputs and iterative GenAI input-output management. This research provides insights into GenAI-VR integration from an HCI perspective and outlines future research directions.

Journal of the Association for Information Systems
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Virtual Reality Applications and Impacts
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