Shabnam Hakimi

According to our database, Shabnam Hakimi authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Understanding the Cognitive Complexity in Language Elicited by Product Images.

Yan-Ying Chen, Shabnam Hakimi, Monica P. Van, Francine Chen, Matthew K. Hong, Matthew Klenk, Charlene C. Wu

CoRR, 2024

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, Hiroshi Yasuda, Katharine Sieck, Avinash Balachandran, Tiffany L. Chen, Guy Rosman

CoRR, 2024

2023

Anticipatory thinking in design.

Matthew Klenk, Matthew Hong, Shabnam Hakimi, Charlene C. Wu

AI Mag., June, 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

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

CoRR, 2023

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

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

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

Overcoming Temptation: Incentive Design For Intertemporal Choice.

Shruthi Sukumar, Adrian F. Ward, Camden Elliott-Williams, Shabnam Hakimi, Michael C. Mozer

CoRR, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

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

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Machine learning reveals how personalized climate communication can both succeed and backfire.

Totte Harinen, Alexandre L. S. Filipowicz, Shabnam Hakimi, Rumen Iliev, Matthew Klenk, Emily Sumner

CoRR, 2021