<p>The Internet of Medical Things (IoMT) revolutionizes healthcare by leveraging interconnected devices to enable data-driven, patient-centric care. Effective user experience (UX) design is critical for intuitive and inclusive IoMT solutions. However, novice designers face challenges with designing UX for IoMT due to its complexity, requiring skills in qualitative data synthesis, stakeholder mapping, and regulatory compliance. This study addresses novice designers' challenges by integrating Generative AI (GAI) into UX workflows. The method leverages GAI platforms to transform user narratives into detailed visual storyboards. The objectives include fostering reflective thinking, enhancing engagement, and accelerating iterative design processes, ultimately bridging the gap between technical capabilities and developmental design training. A quasi-experimental study of 51&#xa0;s-year product design students from a science and technology university focused on an IoMT product design project. Participants were assigned to either the experimental group (<i>n</i> = 29), employing the GAIUXS (Generative AI-enhanced UX Storyboarding) approach, or the comparison group (<i>n</i> = 22), using traditional design methods. Over eight weeks, qualitative and quantitative data were collected. The results indicated that GAIUXS significantly outperformed traditional methods in enhancing novice designers’ behavioral and cognitive engagement, fostering reflection and critical reflection, and reducing habitual action in their design process. These findings demonstrate that GAIUXS promoted active experimentation and critical evaluation, potentially revolutionizing how novice designers approach user-centered design challenges. This study provides pioneering evidence for the effectiveness of the GAI-driven approach in enhancing comprehensive design expertise, offering a promising pathway for future integration of advanced technology in design education.</p>