Machine learning reveals how personalized climate communication can both succeed and backfire. - Totte Harinen; Alexandre L. S. Filipowicz; Shabnam Hakimi; Rumen Iliev; Matthew Klenk 001; Emily Sumner (CoRR, 2021)

Familiarity plays a unique role in increasing preferences for battery electric vehicle adoption. - Alexandre L. S. Filipowicz; Charlene C. Wu; Matthew L. Lee; David A. Shamma; Shabnam Hakimi; Scott A. Carter; Rumen Iliev; Totte Harinen; Emily Sumner; Candice Hogan (CogSci, 2022)

HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving. - Deepak E. Gopinath; Jonathan A. DeCastro; Guy Rosman; Emily Sumner; Allison Morgan; Shabnam Hakimi; Simon Stent (CVPR Workshops, 2022)

Overcoming Temptation: Incentive Design For Intertemporal Choice. - Shruthi Sukumar; Adrian F. Ward; Camden Elliott-Williams; Shabnam Hakimi; Michael C. Mozer (CoRR, 2022)

Learning Latent Traits for Simulated Cooperative Driving Tasks. - Jonathan A. DeCastro; Deepak E. Gopinath; Guy Rosman; Emily Sumner; Shabnam Hakimi; Simon Stent (CoRR, 2022)

Machine learning-based measure of cognitive complexity explains variance in rank-ordered preference. - Shabnam Hakimi; Yan-Ying Chen; Monica P. Van; Scott A. Carter; Emily Sumner; Nayeli Suseth Bravo; Kalani Murakami; Yanxia Zhang; Charlene C. Wu; Matthew Klenk 001 (CogSci, 2023)

Generative AI for Product Design: Getting the Right Design and the Design Right. - Matthew K. Hong; Shabnam Hakimi; Yan-Ying Chen; Heishiro Toyoda; Charlene C. Wu; Matthew Klenk 001 (CoRR, 2023)

Visual Elements and Cognitive Biases Influence Interpretations of Trends in Scatter Plots. - Alexandre L. S. Filipowicz; Scott A. Carter; Nayeli Suseth Bravo; Rumen Iliev; Shabnam Hakimi; David Ayman Shamma; Kent Lyons; Candice Hogan; Charlene C. Wu (CoRR, 2023)

Anticipatory thinking in design. - Matthew Klenk 001; Matthew Hong 001; Shabnam Hakimi; Charlene C. Wu (AI Mag., 2023)

Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. - Emily S. Sumner; Jonathan A. DeCastro; Jean Costa; Deepak E. Gopinath; Everlyne Kimani; Shabnam Hakimi; Allison Morgan; Andrew Best; Hieu Nguyen; Daniel J. Brooks; Bassam ul Haq; Andrew Patrikalakis; et al. (CoRR, 2024)

Understanding the Cognitive Complexity in Language Elicited by Product Images. - Yan-Ying Chen; Shabnam Hakimi; Monica P. Van; Francine Chen 001; Matthew K. Hong; Matthew Klenk 001; Charlene C. Wu (CoRR, 2024)

ConjointNet: Enhancing Conjoint Analysis for Preference Prediction with Representation Learning. - Yanxia Zhang; Francine Chen 001; Shabnam Hakimi; Totte Harinen; Alex Filipowicz; Yan-Ying Chen; Rumen Iliev; Nikos Aréchiga; Kalani Murakami; Kent Lyons; Charlene C. Wu; Matt Klenk (CoRR, 2025)

Learning to Represent Individual Differences for Choice Decision Making. - Yan-Ying Chen; Yue Weng; Alexandre L. S. Filipowicz; Rumen Iliev; Francine Chen 001; Shabnam Hakimi; Yanxia Zhang; Matthew L. Lee; Kent Lyons; Charlene C. Wu (CoRR, 2025)