(De)composing Craft: An Elementary Grammar for Sharing Expertise in Craft Workflows
This addresses the problem of limited knowledge sharing between craftspeople by providing a computational method to document tacit expertise, though it appears incremental as it builds on existing HCI and CSCW approaches.
The paper tackles the problem of inadequate documentation in craft practices by developing an elementary grammar to capture improvisational actions and contextual variations, demonstrating its utility through a MLLM-powered interface called CraftLink that generated effective documentation in a user study with expert crocheters (N=7).
Craft practices rely on evolving archives of skill and knowledge developed through generations of craftspeople experimenting with designs, materials, and techniques. Better documentation of these practices enables the sharing of knowledge and expertise between sites and generations. However, most documentation focuses on the linear steps leading to final artifacts, neglecting the distinct tacit knowledge, improvisational actions, and situated adaptations needed to meet the unique demands of each craft project. This omission limits knowledge sharing and reduces craft to a mechanical endeavor, rather than a sophisticated and contextual way of seeing, thinking, and doing. Drawing on expert interviews and literature from HCI, CSCW and the social sciences, we develop an elementary grammar to document improvisational actions of real-world craft practices. We demonstrate the utility of this grammar with a MLLM-powered interface called CraftLink that can be used to analyze expert videos and generate documentation to share material and contextual variations of practices with other knowledgeable but non-master craftspeople. Our user study with expert crocheters (N=7) evaluates our grammar's effectiveness in capturing and sharing expert knowledge with other craftspeople, offering new pathways for computational systems to support collaborative archives of knowledge and practice across time, space, and skill levels. We conclude by showing how our grammar address four key tensions of the craft learning environment: personal and shareable documentation, fragmented and discoverable expertise, linear and iterative practices, and data privacy and ownership.