Ally: Designing Interfaces for Human + AI Collaborative Creativity for Computer Aided Design (CAD) Applications

Creativity is an essential component to design and is something that is seen as intrinsically human. As the world continues to become more and more digital, computers become ever more present in the world of creativity. However, the relationship between human and technology does not have to be adversarial. My research for Ally builds on the work of Paper Dreams, an adaptive drawing canvas platform with the objective of augmenting creativity using machine learning and multimodal inputs. In collaboration with PTC, Ally expands Paper Dreams, taking digitally drawn sketches using a Sketch-A-Net model or webcam images using a YOLOv5 model to recognize user input and build a Computer Aided Design (CAD) scene that has been collaboratively created by a human and an algorithm. The devised model is ultimately able to correctly identify the desired part for the user’s design in one of the top five most similar results at a rate better than by chance on a test set of possible user input data. Using the CAD capabilities of PTC Onshape and the Sketch-A-Net/YOLOv5 models, an extension to Paper Dreams has been built that will hopefully be usable in industry to create "digital twins" and allow humans and machines to design together.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2022

Author dc:creator

• Chong, Isabelle

Advisor dc:contributor.advisor

• Maes, Pattie

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/144948

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/144948