Measuring the influence of prior beliefs on probabilistic estimations. - Alex Filipowicz; Derick Valadao; Britt Anderson; James Danckert (CogSci, 2014)

The Effects of Prior Learned Strategies on Updating an Opponent's Strategy in the Rock, Paper, Scissors Game. - Elisabeth Stöttinger; Alex Filipowicz; James Danckert; Britt Anderson (Cogn. Sci., 2014)

Plinko: A Theory-Free Behavioral Measure of Priors for Statistical Learning and Mental Model Updating. - Peter A. V. DiBerardino; Alexandre L. S. Filipowicz; James Danckert; Britt Anderson (CoRR, 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 001; Emily Sumner (CoRR, 2021)

Pick Your CARbon: User Perceptions of Equivalencies for Carbon Emissions when Selecting Rideshares. - Vikram Mohanty; Alexandre L. S. Filipowicz; Nayeli Suseth Bravo; Rumen Iliev; Scott A. Carter; David A. Shamma (AutomotiveUI (Adjunct Proceedings), 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 (CogSci, 2022)

EV Life: A Counterfactual Dashboard Towards Reducing Carbon Emissions of Automotive Behaviors. - David A. Shamma; Matthew L. Lee; Alexandre L. S. Filipowicz; Laurent Denoue; Kate Glazko; Kalani Murakami; Kent Lyons (IUI Companion, 2022)

Understanding and Shifting Preferences for Battery Electric Vehicles. - Nikos Aréchiga; Francine Chen 001; Rumen Iliev; Emily Sumner; Scott A. Carter; Alexandre L. S. Filipowicz; Nayeli Suseth Bravo; Monica P. Van; Kate Glazko; Kalani Murakami; Laurent Denoue; Candice Hogan; et al. (CoRR, 2022)

Promoting Sustainable Charging Through User Interface Interventions. - Alexandre L. S. Filipowicz; Nayeli Suseth Bravo; Rumen Iliev; Vikram Mohanty; Charlene C. Wu; David A. Shamma (AutomotiveUI, 2023)

More human than human: LLM-generated narratives outperform human-LLM interleaved narratives. - Zoie Zhao; Sophie Song; Bridget Duah; Jamie C. Macbeth; Scott A. Carter; Monica P. Van; Nayeli Suseth Bravo; Matthew Klenk 001; Kate A. Sieck; Alexandre L. S. Filipowicz (Creativity & Cognition, 2023)

Understanding People's Perception and Usage of Plug-in Electric Hybrids. - Matthew L. Lee; Scott A. Carter; Rumen Iliev; Nayeli Suseth Bravo; Monica P. Van; Laurent Denoue; Everlyne Kimani; Alexandre L. S. Filipowicz; David A. Shamma; Kate A. Sieck; Candice Hogan; Charlene C. Wu (CHI, 2023)

Save A Tree or 6 kg of CO2? Understanding Effective Carbon Footprint Interventions for Eco-Friendly Vehicular Choices. - Vikram Mohanty; Alexandre L. S. Filipowicz; Nayeli Suseth Bravo; Scott A. Carter; David A. Shamma (CHI, 2023)

DesignAID: Using Generative AI and Semantic Diversity for Design Inspiration. - Alice Cai; Steven R. Rick; Jennifer L. Heyman; Yanxia Zhang; Alexandre L. S. Filipowicz; Matthew Hong 001; Matthew Klenk 001; Thomas W. Malone (CI, 2023)

Can Behavioral Experts Predict Outcome Heterogeneity? - Rumen Iliev; Alexandre L. S. Filipowicz; Emily Sarah Sumner; Francine Chen 001; Nikos Aréchiga; Scott A. Carter; Totte Harinen; Kate A. Sieck; Charlene C. Wu (CogSci, 2023)

Understanding the Physiological Arousal of Novice Performance Drivers for the Design of Intelligent Driving Systems. - Everlyne Kimani; Alexandre L. S. Filipowicz; Hiroshi Yasuda (ICMI Companion, 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)

DriveStats: a Mobile Platform to Frame Effective Sustainable Driving Displays. - Song Mi Lee-Kan; Alexandre L. S. Filipowicz; Nayeli Suseth Bravo; Candice Hogan; David A. Shamma (MobileHCI (Companion), 2024)

Using LLMs to Model the Beliefs and Preferences of Targeted Populations. - Keiichi Namikoshi; Alex Filipowicz; David A. Shamma; Rumen Iliev; Candice L. Hogan; Nikos Aréchiga (CoRR, 2024)

Leveraging Language Models and Bandit Algorithms to Drive Adoption of Battery-Electric Vehicles. - Keiichi Namikoshi; David A. Shamma; Rumen Iliev; Jingchao Fang; Alexandre L. S. Filipowicz; Candice L. Hogan; Charlene C. Wu; Nikos Aréchiga (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)

Demystifying CO2: lessons from nutrition labeling and step counting. - Alexandre L. S. Filipowicz; David A. Shamma; Vikram Mohanty; Candice L. Hogan (CoRR, 2025)