5 citations · 10 across the 8 of their papers we have counts for
Showing cs.HCShow all
2 papers · 1 filter
cs.HC2026
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…
cs.HC2024★ 2 cited
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems
Shreya Rajagopal, Jae Ho Sohn, Hari Subramonyam +1
Generative AI systems such as ChatGPT and Claude are built upon language models that are typically evaluated for accuracy on curated benchmark datasets. Such evaluation paradigms m…