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Preview of Wednesday Activities
Designer-AI Collaboration for User Need Finding and Generative Design
This project imagines user-centered design processes where the latent needs of users are automatically elicited from social media, forums, and online reviews, and translated into new concept recommendations for designers. This project will advance the fundamental understanding of if and how AI can augment the performance of designers in early-stage product development by investigating two fundamental questions: (1) Can we build and validate novel natural language processing (NLP) algorithms for large-scale elicitation of latent user needs with cross-domain transferability and minimal need for manually labeled data? (2) Can we build and validate novel deep generative design algorithms that capture the visual and functional aspects of past successful designs and automatically translate them into new design concepts?
Mohsen Moghaddam
Assistant Professor, Department of Mechanical and Industrial Engineering Affiliated Faculty, Khoury College of Computer Sciences
Estefania Ciliotta
Post-Doctoral Strategist & Researcher, Center for Design
Paolo Ciuccarelli
Founding Director, Center for Design; Professor of Design
Tucker Marion
Associate Professor, Technological Entrepreneurship
Lu Wang
Assistant Professor of Computer Science and Engineering, University of Michigan
Presentation Recording
Presentation PDF
NSF LUCID Design Week Slides 4.20.22.pdfKey takeaways
This is an NSF-awarded collaborative project among the Center for Design at CAMD, the School of Engineering, the School of Business, and the University of Michigan.
The goal is to train AI models for generative design – NLP, GANs, Sentiment Analysis, DMDE – to collaborate with designers and help them identify needs from online audiences, evaluate concepts, and innovate product ideas.
The team presented a real-world case application of the model, showcasing the potential of the approach and the new model they are developing.
The audience was interested in learning more about the actual model and how the research team envisions the designer-AI collaboration, especially from an ethical perspective.
Conversations revolved around the innovative aspect of the approach, ethics, bias in AI, and future implications for designers and product managers. Some questions and provocations brought up by the audience that researchers included:
How do you define innovation? How innovative can you be using these methods and tools?
How can you use these tools without errors of “perception”? How is this tool going to enhance the role of a human?
How are you planning to include fashion dynamics and trends in this model?
This is an interactive tool for a designer to learn more about what's out there - the generative part should be able to give you thousands of shoe concept ideas to choose from. You become more of a “chooser”
Design is not always meant to design something that people like, at least not in fashion – fashion is fashion, and you may not like it… this impacts culture.
Can you do StyleMixing between shoes and something different to have a greater range of innovations?
for more information on this project email Estefania Ciliotta at e.ciliottachehade@northeastern.edu
BFA Interaction Design Capstone Fair
As part of the CAMD Center for Design · Design Research Week, 7 student teams will be presenting work from the Interaction Design Capstone Sequence. These are student-authored, student-led projects that were developed over the past academic year.
Perzeption — branding and design for a eyecare social good startup
Lighten Up — an web-enabled installation space for reflection and de-stressing
Tuun — a Spotify-enabled experiment exploring music and color association
Paper People — broadening the landscape of expressive punctuation
3 of these teams collaborated with the East Boston Social Center and the City of Boston Mayor’s Opportunity Agenda to produce projects aimed at supporting families with young children in East Boston:
SEL Zoo — an e-learning app to help parents of children from 0-3 expand social and emotional skills
HappyEastie — a search engine that helps lower-income young families connect with resources in East Boston
Made to Play — DIY developmental toys for children’s first 3 years
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