Paper2Card is a platform that uses generative AI to transform design implications from academic papers into visual, easy-to-understand design cards.
Led by Donghoon Shin, with faculty advisors Gary Hsieh and Lucy Lu Wang, this project aims to make academic design insights more accessible and impactful for practitioners.
My Story with Paper2Card
I joined this project to create a repository interface presenting design cards generated by AI from HCI academic papers.
Research
Primary Research Analysis
Our team analyzed interview data collected by Donghoon using affinity mapping. Given that our target audience is designers, I suggested organizing the sticky notes with quotes according to the Double Diamond Design Process.
Affinity Mapping based on Design Process
Design Practitioners Want/Need:
Find methods for conducting secondary research.
Discover knowledge and methods adaptable to their research and design processes.
Gather/share their findings and insights efficiently.
Draw inspiration from academic papers.
Access theories that can substantiate their designs.
How might we translate academic research into actionable design insights❓
💡 allow designers to discover and draw inspiration from relevant papers
💡 enable designers to gather, share, and substantiate their design decisions with academic theories and methodologies
Ideation
Constraints:
With our “How Might We” question, we’re ready to begin the Ideation phase. Our approach is constrained by the need to build upon the existing “Paper2Card” AI developed by our PhD student.
Room for Creative Exploration:
For this repository, I led the team in determining our next step: identifying essential user stories tailored to our target audience—designers. I proposed we start by sketching ideas, a method that would quickly synthesize everyone’s thoughts.