1.6k citations · 2k across the 14 of their papers we have counts for
15 papers
Demystifying CO2: lessons from nutrition labeling and step counting
Alexandre L. S. Filipowicz, David A. Shamma, Vikram Mohanty +1
There is growing concern about climate change and increased interest in taking action. However, people have difficulty understanding abstract units like CO2 and the relative enviro…
Leveraging Language Models and Bandit Algorithms to Drive Adoption of Battery-Electric Vehicles
Keiichi Namikoshi, David A. Shamma, Rumen Iliev +5
Behavior change interventions are important to coordinate societal action across a wide array of important applications, including the adoption of electrified vehicles to reduce em…
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…
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…
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…
Using LLMs to Model the Beliefs and Preferences of Targeted Populations
Keiichi Namikoshi, Alex Filipowicz, David A. Shamma +3
We consider the problem of aligning a large language model (LLM) to model the preferences of a human population. Modeling the beliefs, preferences, and behaviors of a specific popu…