Shabnam Hakimi

15 papers B 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deconstructing Taste: Toward a Human-Centered AI Framework for Modeling Consumer Aesthetic Perceptions.
CoRR
Matthew K. Hong, Joey Li, Alexandre L. S. Filipowicz, Monica P. Van, Kalani Murakami, Yan-Ying Chen, Shiwali Mohan, Shabnam Hakimi, Matthew Klenk
2026 J jnl
Personagram: Bridging Personas and Product Design for Creative Ideation with Multimodal LLMs.
CoRR
Taewook Kim, Matthew K. Hong, Yan-Ying Chen, Jonathan Q. Li, Monica P. Van, Shabnam Hakimi, Matthew Kay, Matthew Klenk
2025 J jnl
ConjointNet: Enhancing Conjoint Analysis for Preference Prediction with Representation Learning.
CoRR
Yanxia Zhang, Francine Chen, Shabnam Hakimi, Totte Harinen, Alex Filipowicz, Yan-Ying Chen, Rumen Iliev, Nikos Aréchiga, Kalani Murakami, Kent Lyons, Charlene C. Wu, Matt Klenk
2025 J jnl
Learning to Represent Individual Differences for Choice Decision Making.
CoRR
Yan-Ying Chen, Yue Weng, Alexandre L. S. Filipowicz, Rumen Iliev, Francine Chen, Shabnam Hakimi, Yanxia Zhang, Matthew L. Lee, Kent Lyons, Charlene C. Wu
2024 J jnl
Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference.
CoRR
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, Hiroshi Yasuda, Katharine Sieck, Avinash Balachandran, Tiffany L. Chen, Guy Rosman
2024 J jnl
Understanding the Cognitive Complexity in Language Elicited by Product Images.
CoRR
Yan-Ying Chen, Shabnam Hakimi, Monica P. Van, Francine Chen, Matthew K. Hong, Matthew Klenk, Charlene C. Wu
2023 J jnl
Anticipatory thinking in design.
AI Mag.
Matthew Klenk, Matthew Hong, Shabnam Hakimi, Charlene C. Wu
2023 J jnl
Generative AI for Product Design: Getting the Right Design and the Design Right.
CoRR
Matthew K. Hong, Shabnam Hakimi, Yan-Ying Chen, Heishiro Toyoda, Charlene C. Wu, Matthew Klenk
2023 B conf
Machine learning-based measure of cognitive complexity explains variance in rank-ordered preference.
CogSci
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
2023 J jnl
Visual Elements and Cognitive Biases Influence Interpretations of Trends in Scatter Plots.
CoRR
Alexandre L. S. Filipowicz, Scott A. Carter, Nayeli Suseth Bravo, Rumen Iliev, Shabnam Hakimi, David Ayman Shamma, Kent Lyons, Candice Hogan, Charlene C. Wu
2022 B conf
Familiarity plays a unique role in increasing preferences for battery electric vehicle adoption.
CogSci
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
2022 — conf
HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving.
CVPR Workshops
Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman, Emily Sumner, Allison Morgan, Shabnam Hakimi, Simon Stent
2022 J jnl
Learning Latent Traits for Simulated Cooperative Driving Tasks.
CoRR
Jonathan A. DeCastro, Deepak E. Gopinath, Guy Rosman, Emily Sumner, Shabnam Hakimi, Simon Stent
2022 J jnl
Overcoming Temptation: Incentive Design For Intertemporal Choice.
CoRR
Shruthi Sukumar, Adrian F. Ward, Camden Elliott-Williams, Shabnam Hakimi, Michael C. Mozer
2021 J jnl
Machine learning reveals how personalized climate communication can both succeed and backfire.
CoRR
Totte Harinen, Alexandre L. S. Filipowicz, Shabnam Hakimi, Rumen Iliev, Matthew Klenk, Emily Sumner