We introduce DuoMorph, a design and fabrication method that synergistically integrates Fused Deposition Modeling(FDM) printing and pneumatic actuation to create novel shape-changing interfaces. In DuoMorph, the printed structures and heat-sealed pneumatic elements are mutually designed to actuate and constrain each other, enabling functions that are difficult for either component to achieve in isolation. Moreover, the entire hybrid structure can be fabricated through a single, seamless process using only a standard FDM printer—including both heat-sealing and 3D/4D printing. In this paper, we define a design space including four primitive categories that capture the fundamental ways in which printed and pneumatic components can interact. To support this process, we present a fabrication method and an accompanying design tool. Finally, we demonstrate the potential of DuoMorph through example applications and performance demonstrations.

Smart materials have garnered significant attention in both academia and industry, yet identifying pragmatically impactful applications still requires contributions from multiple stakeholders, including researchers, designers, and industry professionals.Although previous research has explored novel technical approaches or user-centered applications of smart materials, this study focuses on how to stimulate effective dialogue among stakeholders to explore impactful smart material applications.

While Swarm User Interfaces (SUIs) have succeeded in enriching tangible interaction experiences, their limitations in autonomous action planning have hindered the potential for personalized and dynamic interaction generation in tabletop games. Based on the AI-Gadget Kit we developed, this paper explores how to integrate LLM-driven agents to enable SUIs to execute interaction tasks within tabletop games. After defining the design space of this kit, we elucidate the method for designing agents that can extend the meta-actions of SUIs to motion planning. Furthermore, we introduce an add-on prompt method that simplifies the design process for four interaction relationships in tabletop games. Lastly, we present an example that illustrates the potential of AI-Gadget Kit to construct personalized complex interactions in SUI tabletop games.