We introduce DanXeReflect, an XR system that transforms rehearsal videos into interactive dance studio for embodied and reflective choreography making. The system enables dancers to explore and communicate feedback through pose-based search, embodied revision, and body-anchored annotation.

TwistLens generates transformed artwork previews that communicate interpretive cues while preserving surprise. Guided by docent descriptions, EchoLens and DecoyLens help museums balance understanding with anticipation before visits.

We introduce ParaScent, a parametric visualization toolkit that translates perfume attributes into motion-based visuals. By mapping scent qualities such as intensity, diffusion, and longevity to animated parameters, the system enables intuitive understanding of fragrances in digital environments.

We introduce Ponify, a sonification method that translates the perceived dynamics of paintings into music through pose analysis. By extracting limb movements from human figures in artworks, Ponify maps visual motion cues to musical parameters such as tempo and density.

We introduce Designatomy, a taxonomy-driven design pedagogy that helps technology-novice students generate technology-inspired design ideas. The approach structures technological features into conceptual categories that support systematic ideation.

This paper envisions generative AI and XR as means to better novices in adopting dual roles as designers and users while personalizing 3D products. A generative design study in their homes examined how novices think and act while designing personal products.