Research vision · Human–computer interaction

Beyond Design Outcomes

Interactive Tools for Design Reasoning

Interactive design tools have become increasingly capable of helping designers create and realize their ideas. Building on these advances, I investigate how interactive tools can also support designers as they reason through the decisions that shape their designs, from CAD modeling to fabrication.

As design goals, constraints, and possible solutions evolve, designers may encounter overlooked requirements, explore alternatives, or leave decisions open while new knowledge becomes available.

Research question · How can interactive tools support informed design decisions across design and fabrication?

I organize this research agenda around problem and solution reasoning, and the divergent and convergent activities that can occur within each. These directions overlap as designs develop.

Research directions across problem and solution reasoning Black and white cross-axis research map. The horizontal axis spans problem reasoning on the left to solution reasoning on the right. The vertical axis spans divergent activity above to convergent activity below. The relative distances are interpretive, not measured scores. Solid markers show core projects: aCADemy, CAMeleon, FuzzyCAD. Open markers show related projects: Design with Myself, TOM Search, Y-AR. Divergent Convergent Problem Solution aCADemy: reflective questions reveal overlooked design considerations aCADemy CAMeleon: comparing fabrication alternatives and trade-offs CAMeleon FuzzyCAD: developing unresolved design decisions through collaboration FuzzyCAD Design with Myself: supporting self-awareness of responses during design Design with Myself TOM Search: finding and comparing relevant assistive technology options TOM Search Y-AR: developing fabrication-ready wire structures through mixed reality Y-AR Research agenda project map, mobile layout A compact black-and-white map of six research projects on two axes. Problem reasoning is left, solution reasoning is right, divergent activity is above, and convergent below. Solid dots show aCADemy, CAMeleon, and FuzzyCAD. Open dots show Design with Myself, TOM Search, and Y-AR. Positions represent qualitative research emphasis. Divergent Convergent Problem Solution aCADemy: reflection on overlooked design considerations aCADemy CAMeleon: exploring fabrication alternatives CAMeleon FuzzyCAD: developing unresolved decisions FuzzyCAD Design with Myself: metacognitive monitoring during design Design with Myself TOM Search: finding assistive technology options TOM Search Y-AR: fabrication-ready wire structures Y-AR
Core research Related projects Positions indicate research emphasis, not measured scores.

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Research

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Showing all 9 projects

CAMeleon fabrication workflow comparisons

Published ACM CHI · 2026

CAMeleon: Comparing Fabrication Workflows in CAD to Support Design Reasoning

Shuo Feng, Xuening Wang, Yifan (Lavenda) Shan, Krista U Singh, Bo Liu, Amritansh Kwatra, Ritik Batra, Tobias M Weinberg, Thijs Roumen

Learners often begin with a familiar fabrication workflow and may lack the knowledge to judge alternatives. Early modeling choices can make it difficult to change direction as their design develops. CAMeleon lets learners compare workflow outcomes for the same model, supporting exploration of trade-offs and the development of informed design judgments.

CADDesign reasoningWorkflow comparisonLearning
aCADemy research project image

Research in progress

aCADemy: Guided Reflection on Fabrication-centric CAD Decisions Through AI

aCADemy is an AI-based reflective interface that works alongside CAD software. It presents contextual questions about fabrication considerations during modeling, helping designers reflect on decisions while retaining control over how their designs develop.

CADDesign reasoningGuided reflectionHuman–AI

Research in progress

FuzzyCAD: Supporting Collaborative Design Reasoning through Deferred Decisions in CAD

FuzzyCAD lets collaborators express unresolved design decisions directly on CAD geometry, contribute constraints and identify competing requirements. The project examines how collaborators with different expertise can progressively develop these decisions across asynchronous handoffs.

CADDesign reasoningDeferred decisionsCollaboration
TOM multi-source assistive technology search results and candidate assessment

Applied research Siegel PiTech Fellowship · 2026

Making Assistive Technology Search Actionable through a Multi-Source Retrieval Tool for TOM

People seeking assistive technology often describe everyday challenges without knowing the technical names of relevant solutions. Developed with TOM Global, this tool connects conversational intake to searches across assistive technology catalogs, open-source designs, and commercial products. It helps staff assess whether a result can be used as-is, adapted, or turned into a new maker challenge when existing solutions do not fit.

Assistive technologyMulti-source retrievalNeeds assessment
FloodMap NYC map, flood-event timeline and monitoring dashboard

Applied research PiTech Fellowship · 2025

Making Environmental Data More Accessible for NYC Flood Preparedness

Developed with the NYC Mayor's Office of Climate & Environmental Justice, this interactive dashboard presents flood sensor readings, historical events, and localized monitoring information in an accessible format. It helps New York City residents explore flood-related data and better understand conditions relevant to their neighborhoods.

Data visualizationFlood preparednessCivic technology
Y-AR mixed reality wire bending tool

Published ACM SCF · 2025

Y-AR: A Mixed Reality CAD Tool for 3D Wire Bending

Shuo Feng, Bo Liu, Yifan (Lavenda) Shan, Roy Zunder, Wei-Che Lin, Tri Dinh, Harald Haraldsson, Ofer Berman, Thijs Roumen

Y-AR is a mixed-reality CAD tool for creating three-dimensional wire structures that connect to objects in the physical environment. Its interface incorporates springs as design primitives, both to apply forces that hold objects and to accommodate dimensional inaccuracies from mid-air modeling and measurement.

Mixed realityCADDigital fabrication
OriStitch self-folding embroidered textiles

Published ACM SCF · 2025

OriStitch: A Machine Embroidery Workflow to Turn Existing Fabrics into Self-Folding 3D Textiles

Zekun Chang, Yixuan Gao, Yuta Noma, Shuo Feng, Xinyi Yang, Kazuhiro Shinoda, Tung D Ta, Koji Yatani, Tomoyuki Yokota, Takao Someya, Tomohiro Tachi, Yoshihiro Kawahara, Koya Narumi, Francois Guimbretiere, Thijs Roumen

OriStitch transforms existing flat fabrics into self-folding three-dimensional structures through computational embroidery. Functional threads are stitched in specific patterns and then activated with heat to achieve a target form. The workflow works with a range of materials, including leather, woven fabric, and denim.

Computational fabricationEmbroiderySmart textiles
EEG headset and VR setup for the Multi-Self project

Published International Journal of Human–Computer Studies · 2024

Design with Myself: A Brain–Computer Interface Design Tool That Predicts Live Emotion to Enhance Metacognitive Monitoring of Designers

Qi Yang, Shuo Feng, Tianlin Zhao, Saleh Kalantari

Multi-Self is a BCI–VR design tool that provides real-time visual feedback about designers' emotional responses to support metacognitive monitoring. A pilot study with 24 participants reported increased design exploration and self-awareness, while responses to the accuracy of the emotional feedback were mixed.

Brain–computer interfaceVirtual realityMetacognition
Emotive Room modular responsive installation illuminated in blue and purple

Published ACADIA · 2023

Emotive Room: A BCI Interactive Architectural Interface

Shuo Feng, Saleh Kalantari, Jenny Sabin

Emotive Room explores how an interactive architectural environment can respond to people's emotional states through real-time brain–computer interaction. By changing spatial color and form in response to stress-related feedback, the project investigates responsive environments that may support calmness and well-being.

Brain–computer interfaceResponsive architectureBiofeedback

Contact

Shuo Feng · Ph.D. Student, Information Science · Cornell Tech

sf522@cornell.edu · Google Scholar · GitHub · CV