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dc.contributor.advisorMaes, Pattie
dc.contributor.authorChong, Isabelle
dc.date.accessioned2022-08-29T16:22:55Z
dc.date.available2022-08-29T16:22:55Z
dc.date.issued2022-05
dc.date.submitted2022-05-27T16:19:21.002Z
dc.identifier.urihttps://hdl.handle.net/1721.1/144948
dc.description.abstractCreativity 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.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright MIT
dc.rights.urihttp://rightsstatements.org/page/InC-EDU/1.0/
dc.titleAlly: Designing Interfaces for Human + AI Collaborative Creativity for Computer Aided Design (CAD) Applications
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Electrical Engineering and Computer Science


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