1.6k citations · 2k across the 14 of their papers we have counts for
5 papers · 1 filter
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…