2 citations · 4 across the 4 of their papers we have counts for
4 papers
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving
Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay +1
Personalization of autonomous vehicles (AV) may significantly increase trust, use, and acceptance. In particular, we hypothesize that the similarity of an AV's driving style compar…
Learning Latent Traits for Simulated Cooperative Driving Tasks
Jonathan A. DeCastro, Deepak Gopinath, Guy Rosman +3
To construct effective teaming strategies between humans and AI systems in complex, risky situations requires an understanding of individual preferences and behaviors of humans. Pr…
Understanding and Shifting Preferences for Battery Electric Vehicles
Nikos Arechiga, Francine Chen, Rumen Iliev +12
Identifying personalized interventions for an individual is an important task. Recent work has shown that interventions that do not consider the demographic background of individua…
Machine learning reveals how personalized climate communication can both succeed and backfire
Totte Harinen, Alexandre Filipowicz, Shabnam Hakimi +3
Different advertising messages work for different people. Machine learning can be an effective way to personalise climate communications. In this paper we use machine learning to r…