Object Title
A.I.reframe
Part of
Collection: 2020 (PC020402.16) ➔ Series: Parsons School of Design MFA Design and Technology program theses
Material Category
Thesis
Description
Artificial intelligence(AI) has become more and more important in revolutionizing people's daily life. In this thesis project, I am proposing a novel approach to integrate AI with modern design. Specifically, with the help of machine learning, we can generate diversify and optimized wireframes automatically that are driven by users' preferences and needs. This novel AI-driven wireframe design approach can significantly reduce the time UX designers spend on wireframing, improve their productivity, and also strengthen their final output. My deliverables conclude a persona and scenario and a working prototype demonstrating the target user and use cases of my approach that can be delivered to data scientists and engineers to develop a functional product. My research on AI technology and target user also demonstrated the feasibility and effectiveness of this approach.
Creator Keywords:
Generative Design, User Experience Design, Wireframe
Date
May 3 2020
Related people
Huimin Hu (designer)
Kyle Li (thesis advisor)
Harpreet Sareen (thesis advisor)
Related Repository
Parsons Institutional Collections
Use Restrictions
In accordance with The New School's Intellectual Property Rights Policy, copyright is held by each thesis' respective author. The responsibility to secure copyright permission rests with the user.; http://rightsstatements.org/vocab/InC/1.0/
Identifier
PC020402_2020_huh232
There’s more! What you see on this site is only what is viewable online. Please visit archives.newschool.edu to find out more about what’s in the archives.
Material Category
ThesisDescription
Artificial intelligence(AI) has become more and more important in revolutionizing people's daily life. In this thesis project, I am proposing a novel approach to integrate AI with modern design. Specifically, with the help of machine learning, we can generate diversify and optimized wireframes automatically that are driven by users' preferences and needs. This novel AI-driven wireframe design approach can significantly reduce the time UX designers spend on wireframing, improve their productivity, and also strengthen their final output. My deliverables conclude a persona and scenario and a working prototype demonstrating the target user and use cases of my approach that can be delivered to data scientists and engineers to develop a functional product. My research on AI technology and target user also demonstrated the feasibility and effectiveness of this approach.Creator Keywords:
Generative Design, User Experience Design, Wireframe
Date
May 3 2020Related people
Huimin Hu (designer)Kyle Li (thesis advisor)
Harpreet Sareen (thesis advisor)
Related Repository
Parsons Institutional CollectionsUse Restrictions
In accordance with The New School's Intellectual Property Rights Policy, copyright is held by each thesis' respective author. The responsibility to secure copyright permission rests with the user.; http://rightsstatements.org/vocab/InC/1.0/Identifier
PC020402_2020_huh232There’s more! What you see on this site is only what is viewable online. Please visit archives.newschool.edu to find out more about what’s in the archives.