Integrating AI into Multimodal Automotive Design: A Conceptual Framework for User Experience Evaluation and Market Application

The rapid evolution of artificial intelligence (AI) and multimodal interaction technologies is reshaping automotive design, demanding new frameworks that prioritize user experience (UX) and market applicability. This conceptual study proposes an integrative framework that combines AI-driven personalization, multimodal interface design (e.g., voice, gesture, and touch), and real-time UX evaluation mechanisms. Drawing upon human-centered design principles and theories of user acceptance, the framework addresses current gaps in adaptive, intelligent vehicle interface systems. It further outlines strategic pathways for deployment in diverse market environments through an evaluation model that accounts for technological scalability, cultural preferences, and demographic diversity. The study concludes by identifying key directions for future research, particularly emphasizing cross-cultural UX testing across various vehicle types and user groups. The proposed framework contributes to both academic discourse and industry practice, offering a foundation for the next generation of intelligent, user-centric automotive systems.