output
20172025
most citedProbing out-of-distribution generalization in machine learning for materials

63 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.HCShow all

5 papers · 1 filter

cs.HC2025★ 3 cited

BioSpark: Beyond Analogical Inspiration to LLM-augmented Transfer

Hyeonsu Kang, David Chuan-en Lin, Yan-Ying Chen +3

We present BioSpark, a system for analogical innovation designed to act as a creativity partner in reducing the cognitive effort in finding, mapping, and creatively adapting divers…

cs.HC2025★ 28 cited

Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching

David Chuan-En Lin, Hyeonsu B. Kang, Nikolas Martelaro +3

With recent advancements in the capabilities of Text-to-Image (T2I) AI models, product designers have begun experimenting with them in their work. However, T2I models struggle to i…

cs.HC2024

DriveStats: a Mobile Platform to Frame Effective Sustainable Driving Displays

Song Mi Lee-Kan, Alexandre Filipowicz, Nayeli Bravo +2

Phone applications to track vehicle information have become more common place, providing insights into fuel consumption, vehicle status, and sustainable driving behaviorsHowever, t…

cs.HC2024★ 16 cited

Save A Tree or 6 kg of CO2? Understanding Effective Carbon Footprint Interventions for Eco-Friendly Vehicular Choices

Vikram Mohanty, Alexandre Filipowicz, Nayeli Bravo +2

From ride-hailing to car rentals, consumers are often presented with eco-friendly options. Beyond highlighting a "green" vehicle and CO2 emissions, CO2 equivalencies have been desi…

cs.HC2024★ 9 cited

On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments

Jingchao Fang, Nikos Arechiga, Keiichi Namaoshi +3

The Wizard of Oz (WoZ) method is a widely adopted research approach where a human Wizard ``role-plays'' a not readily available technology and interacts with participants to elicit…