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

10 September 2021

Papers citing "Machine learning reveals how personalized climate communication can both succeed and backfire"

4 / 4 papers shown

Title
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 30 0 0 30 Oct 2024
Save A Tree or 6 kg of CO2? Understanding Effective Carbon Footprint Interventions for Eco-Friendly Vehicular Choices V. Mohanty Alexandre L. S. Filipowicz N. Bravo Scott Carter David A. Shamma 23 13 0 12 Jul 2024
On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments Jingchao Fang Nikos Aréchiga Keiichi Namaoshi N. Bravo Candice L Hogan David A. Shamma 44 3 0 10 Jul 2024
Understanding and Shifting Preferences for Battery Electric Vehicles Nikos Arechiga Francine Chen Rumen Iliev Emily S. Sumner S. Carter ... Laurent Denoue Candice L Hogan Katharine Sieck Charlene C. Wu Kent Lyons 19 2 0 09 Feb 2022