Application of Generative AI in the Interior Design of Autonomous Vehicles

With the development of autonomous driving technology, the car's interior space is changing from driver-oriented to passenger experience-oriented, which makes the car's interior design face the demand for innovation and development space. Therefore, to promote the in-depth application of AI technology in car design, this study examines the interior design of autonomous vehicles as a case study to investigate the effectiveness of generative AI applications in automotive interior design and to evaluate the quality of the generated content. Using a questionnaire survey method, designers from different professions were invited to assess the design quality of generative AI. The findings reveal that RAG-LLM and ChatGPT significantly outperform LLM in terms of the quality of design research texts, with ChatGPT-generated texts being particularly well-received by designers. Furthermore, leveraging the high-quality text outputs from ChatGPT, the concept design renderings generated by Midjourney were also highly regarded by designers with different levels of experience.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/seai65851.2025.11108796
Primary Topic
Agriculture, Water, and Health
Type
article
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article

Application of Generative AI in the Interior Design of Autonomous Vehicles

Agriculture, Water, and Health
article

Application of Generative AI in the Interior Design of Autonomous Vehicles

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Abstract

With the development of autonomous driving technology, the car's interior space is changing from driver-oriented to passenger experience-oriented, which makes the car's interior design face the demand for innovation and development space. Therefore, to promote the in-depth application of AI technology in car design, this study examines the interior design of autonomous vehicles as a case study to investigate the effectiveness of generative AI applications in automotive interior design and to evaluate the quality of the generated content. Using a questionnaire survey method, designers from different professions were invited to assess the design quality of generative AI. The findings reveal that RAG-LLM and ChatGPT significantly outperform LLM in terms of the quality of design research texts, with ChatGPT-generated texts being particularly well-received by designers. Furthermore, leveraging the high-quality text outputs from ChatGPT, the concept design renderings generated by Midjourney were also highly regarded by designers with different levels of experience.

National Taipei University of Technology (TW)
Sustainable cities and communities
Openalex Percentile: Top 48%
Agriculture, Water, and Health
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