PofoliaShared via Pofolia

Proceedings of the ACM on Human-Computer Interaction· 2026Q2

(De)composing Craft: An Elementary Grammar for Sharing Expertise in Craft Workflows

Ritik Batra, Lydia Kim, Ilan Mandel, Amritansh Kwatra et al.

Short summary

Researchers developed an elementary grammar to document improvisational actions in craft, demonstrating its use with a MLLM-powered interface (CraftLink) that analyzes expert videos to generate documentation on material and contextual variations.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Developed an elementary grammar to document improvisational actions and situated adaptations in craft workflows.
  • Created CraftLink, an MLLM-powered interface to analyze expert videos and generate documentation on practice variations.
  • User study with expert crocheters (N=7) demonstrated the grammar's effectiveness in capturing and sharing expert knowledge.
  • The grammar addresses key tensions in craft learning, including personal vs. shareable documentation and fragmented vs. discoverable expertise.

AI-generated from the title and abstract; the full text is not read.

Abstract

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 addresses 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.

The authors' abstract, as published at the source. Proceedings of the ACM on Human-Computer Interaction, 2026 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Human-Computer Interaction

Human-Computer InteractionComputer Science