Megan Hofmann

schoolNortheastern Universitybar_chart#2035 Global Rank

Total Papers

HCI Rank

#2035

Research Areas

Years Active

Recent Publications

QUILT: Supporting Modular Design of Machine-Knitting Programs

Knitting machines can manufacture complex layered, textured, and multi-material fabrics and garments. With new programming languages and interfaces there is greater access to the machine’s capabilities. Developers can now create machine instructions that produce a fabric sample or garment. Such files can be easily sha…

UIST '24CorrespondingCognitive Impairment & Neurodiversity (Autism, ADHD, Dyslexia) +1

KODA: Knit-program Optimization by Dependency Analysis

Digital knitting machines have the capability to reliably manufacture seamless, textured, and multi-material garments, but these capabilities are obscured by limiting CAD tools. Recent innovations in computational knitting build on emerging programming infrastructure that gives full access to the machine's capabilitie…

UIST '235th+ AuthorShape-Changing Interfaces & Soft Robotic Materials +1

FibeRobo: Fabricating 4D Fiber Interfaces by Continuous Drawing of Temperature Tunable Liquid Crystal Elastomers

We present FibeRobo, a thermally-actuated liquid crystal elastomer (LCE) fiber that can be embedded or structured into textiles and enable silent and responsive interactions with shape-changing, fiber-based interfaces. Three definitive properties distinguish FibeRobo from other actuating fibers explored in HCI. First,…

UIST '231st AuthorDesktop 3D Printing & Personal Fabrication +1

KnitScript: A Domain-Specific Scripting Language for Advanced Machine Knitting

Knitting machines can fabricate complex fabric structures using robust industrial fabrication machines. However, machine knitting's full capabilities are only available through low-level programming languages that operate on individual machine operations. We present KnitScript, a domain-specific machine knitting scrip…

UIST '235th+ Author3D Modeling & Animation +2

Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI

With recent advances in Generative AI, it is becoming easier to automatically manipulate 3D models. However, current methods tend to apply edits to models globally, which risks compromising the intended functionality of the 3D model when fabricated in the physical world. For example, modifying functional segments in 3…

CHI '231st AuthorGenerative AI (Text, Image, Music, Video) +1

OPTIMISM: Enabling Collaborative Implementation of Domain-Specific Metaheuristic Optimization

For non-technical domain experts and designers it can be a substantial challenge to create designs that meet domain specific goals. This presents an opportunity to create specialized tools that produce optimized designs in the domain. However, implementing domain-specific optimization methods requires a rare combinat…

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