12 citations · 14 across the 9 of their papers we have counts for
4 papers · 1 filter
Learning Heterogeneous Preferences
Shiwali Mohan, Matt Hong, Dule Shu +3
Learning from human feedback has become a central paradigm for training modern AI systems, where models of human utility are used as reward models in policy learning. Existing meth…
Designing Rewards for Rewarding Designs: Demonstrating the Impact of Rewards on the Creative Design Process
Surabhi S Nath, Vindula Jayawardana, Monica Van +2
The creative design process involves transforming abstract goals into concrete outcomes through a series of decisions made under constraints. While such processes are commonly shap…
Personagram: Bridging Personas and Product Design for Creative Ideation with Multimodal LLMs
Taewook Kim, Matthew K. Hong, Yan-Ying Chen +5
Product designers often begin their design process with handcrafted personas. While personas are intended to ground design decisions in consumer preferences, they often fall short…
Deconstructing Taste: Toward a Human-Centered AI Framework for Modeling Consumer Aesthetic Perceptions
Matthew K. Hong, Joey Li, Alexandre Filipowicz +6
Understanding and modeling consumers' stylistic taste such as "sporty" is crucial for creating designs that truly connect with target audiences. However, capturing taste during the…