2025/02/07 by Amy Smith, Barrett R. Anderson, Smith, Amy +14 · 1 voice · 3 citations
Engineering · #Artificial intelligence #Automatic summarization #Computer science #Fuzzy logic #Human Motion and Animation #Information retrieval #Natural language processing
paper · pdf · doi:10.48550/arxiv.2502.04599
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2025/02/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Linkography -- the analysis of links between the design moves that make up an episode of creative ideation or design -- can be used for both visual and quantitative assessment of creative activity traces. Traditional linkography, however, is time-consuming, requiring a human coder to manually annotate both the design moves within an episode and the connections between them. As a result, linkography has not yet been much applied at scale. To address this limitation, we introduce fuzzy linkography: a means of automatically constructing a linkograph from a sequence of recorded design moves via a "fuzzy" computational model of semantic similarity, enabling wider deployment and new applications of linkographic techniques. We apply fuzzy linkography to three markedly different kinds of creative activity traces (text-to-image prompting journeys, LLM-supported ideation sessions, and researcher publication histories) and discuss our findings, as well as strengths, limitations, and potential future applications of our approach.