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About Me

ABOUT ME

PHD student with Thijs Roumen

Cornell Tech 

sf522@cornell.edu 

2 West Loop Road 10044, New York, NY

Exploring the Fuzziness in Computational Fabrication Workflow

Cross-disciplinary collaboration in hardware design faces key challenges, especially due to the complexity of integrating diverse expertise. Existing CAD tools are rigid, assuming perfect certainty, which limits flexibility and discourages exploration. This rigidity restricts effective collaboration, making it difficult to balance diverse disciplinary needs and explore uncertainties, ultimately stifling creativity.

To address this, we plan to introduce "constructive fuzziness" into CAD models, transforming them into tools for flexible exploration. Our goal is to make these tools better accommodate design uncertainties, supporting richer cross-disciplinary collaboration and fostering more innovative outcomes.

News

Nov 5th, 2024
We are proud to pre-publish 2 amazing projects on arXiv today! Check out CAMeleon , and Y-AR!
Oct 29th, 2024
Invited Talk at Cornell Tech, XR Collaboratory
Mar 20, 2024
Invited Talk at Carnegie Mellon University for the 62-706 Generative Systems for Design Class
2024
XR Collaboratory Prototyping Grant ($25,000)
News

Papers

Designers of physical objects make assumptions on the material and fabrication workflow early in the design process. Recovering from bad assumptions is hard, because the design and resulting CAD model are locked-in to those assumptions. We present CAMeleon, a software tool to interactively explore fabrication workflows at any stage of the CAD process.

CAMeleon: Interactively Exploring Craft Workflows in CAD (pre-print)

Shuo Feng , Lavenda Yifan Shan , Xuening Wang , Ritik Batra, and Thijs Roumen

Designers of physical objects make assumptions on the material and fabrication workflow early in the design process. Recovering from bad assumptions is hard, because the design and resulting CAD model are locked-in to those assumptions. We present CAMeleon, a software tool to interactively explore fabrication workflows at any stage of the CAD process.

We present Y-AR, a Computer Aided Design (CAD) interface for 3D wire bending. Y-AR uses mixed reality to let designers create structures that physically connect to objects in the environment. The interface incorporates springs as design primitives which (1) apply forces to hold objects, and (2) counter-act dimensional inaccuracies inherently caused by mid air modeling and measurement errors in AR.

Y-AR: A Mixed Reality CAD Tool for 3D Wire Bending (pre-print)

Shuo Feng, Bo Liu, Yifan Shan, Ofer Berman, Harald Haraldsson, and Thijs Roumen

We present Y-AR, a Computer Aided Design (CAD) interface for 3D wire bending. Y-AR uses mixed reality to let designers create structures that physically connect to objects in the environment. The interface incorporates springs as design primitives which (1) apply forces to hold objects, and (2) counter-act dimensional inaccuracies inherently caused by mid air modeling and measurement errors in AR.

The Emotive Room project explores how interactive technologies can modulate users' emotional states through real-time brain-computer interfaces. By adjusting the color and form of interior spaces in response to users' stress levels, the design aims to promote calmness or boost energy as needed. This approach opens new pathways for enhancing well-being in built environments.

Emotive Room: A BCI Interactive Architectural Interface

Shuo Feng, Saleh Kalantari, Jenny Sabin

The Emotive Room project explores how interactive technologies can modulate users' emotional states through real-time brain-computer interfaces. By adjusting the color and form of interior spaces in response to users' stress levels, the design aims to promote calmness or boost energy as needed. This approach opens new pathways for enhancing well-being in built environments.

Video

Multi-Self” is a BCI-VR tool designed to enhance metacognitive monitoring in architectural design by providing real-time, visual biofeedback on emotional responses. In a pilot study with 24 participants, the tool was found to encourage design exploration, foster self-awareness, and help modulate uncertainty, though feedback accuracy received mixed responses.

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 tool designed to enhance metacognitive monitoring in architectural design by providing real-time, visual biofeedback on emotional responses. In a pilot study with 24 participants, the tool was found to encourage design exploration, foster self-awareness, and help modulate uncertainty, though feedback accuracy received mixed responses.

Papers
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