Zijun Wan, Yuxuan Guo, Haowei Xiong, Kexin Nie, and Liang Chen. 2026. ARtisanAI: An AR and AI-Enhanced Authoring Tool for Ceramic Design-to-Craft. 2026. In Poster of the CHI Conference on Human Factors in Computing Systems (CHI EA '26). ACM, New York, NY, USA. （CCF-A）
Objective:
Address the high learning barriers in traditional ceramic craftsmanship, particularly the lack of accessible guidance, real-time feedback, and creative support in at-home learning scenarios.
Methods:
· Designed and developed ARtisanAI, an AI-assisted Mixed Reality (MR) system to support ceramic learning through guided interaction and real-time feedback.
· Integrated multimodal interaction and AI-based assistance to provide step-by-step guidance, error correction, and creative suggestions during the crafting process.
· Structured the learning workflow into multiple stages, including preparation, material processing, pattern creation, and result presentation.
· Conducted user studies combining quantitative questionnaires and qualitative interviews to evaluate usability, learning effectiveness, and creative support.
Results:
· Developed ARtisanAI, an MR-based system that enables users to learn ceramic crafting in a guided and interactive manner outside traditional workshop settings.
· Demonstrated that the system lowers entry barriers, improves user engagement, and enhances both skill acquisition and creative exploration.
· Validated the potential of combining AI and MR to support experiential learning in intangible cultural heritage contexts.
Contribution:
Led system design and development, including interaction design, AI-assisted guidance integration, and overall user experience workflow; contributed to user study design and evaluation, bridging MR technology with ceramic heritage education.
Abstract:
Traditional ceramic craftsmanship relies heavily on in-person instruction, material experience, and long-term practice, making it difficult to access for beginners and remote learners. Existing digital learning approaches often lack real-time feedback and embodied interaction, limiting their effectiveness.
This study presents ARtisanAI, an AI-assisted Mixed Reality (MR) system designed to support ceramic learning through guided interaction and real-time feedback. The system structures the crafting process into multiple stages and integrates AI to provide step-by-step assistance, error correction, and creative suggestions.
Through immersive interaction, users can engage in both skill-based learning and creative exploration within a spatial environment.
User studies combining quantitative and qualitative methods show that the system reduces learning barriers, enhances engagement, and supports both technical skill development and creative expression.
These findings highlight the potential of AI and MR technologies in transforming the learning and transmission of intangible cultural heritage.
Keywords:
Mixed Reality (MR), Artificial Intelligence, Ceramic Craft, Intangible Cultural Heritage (ICH), Interactive Learning