Craft and motion are strongly connected, and reflection about this connection enhances our understanding of digital creative experiences. We summarize seven key steps for reflection in craft and create machine-assisted motion-centric tools to support reflection for each key step. These tools reveal different properties of the recorded movement sequence and the relationship between movement and created models. We tested the tools with a sample of novice users who were asked to create a wire-based jewelry model with a set of creation intentions. The resultant qualitative data and visual analysis charts show that introducing the motion information helps the user to meaningfully reflect on their creative experiences and ultimately enhance their decision-making in terms of selecting the models and creating subsequent digital craft-making movements. We therefore hope that our study will stimulate future discussion to bring motion-centric reflection to digital craft processes.

We present IntuModels, a machine-assisted interactive modeling workflow to enable the novice to create 3D models. The workflow uses a phase-driven approach, including idea generation and selection, to stimulate creativity and assist users who are not familiar with generating design ideas and 3D modeling techniques. By transforming parametric models using continual input data controlled by users, IntuModels motivates users to intuitively generate a huge amount of 3D model options with a good diversity. For selecting from the created models, we design a balanced overview showing the models using clustering and staged tools to help the user view and understand the models correctly. We tested IntuModels with a sample of novices who were asked to create a wire-based jewelry model. Presented in thematic networks and quantitative charts, the results showed that the novice considered IntuModels to be intuitive to use and useful for creating models that exceeded their expectations for post-production.

MovIPrint is a user-friendly, interactive installation that uses software and a depth-sensing camera to capture human body movement. After inputting digital data such as images or video into the software, MovIPrint offers people innovative and user-friendly ways to explore that data by manipulating it with their body movement. We use media content and/or wireframe design to enable people to then fabricate their own moving images and 3D digital models.