2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
Plinko: Eliciting beliefs to build better models of statistical learning and mental model updating
Peter A. V. DiBerardino, Alexandre L. S. Filipowicz, James Danckert +1
Prior beliefs are central to Bayesian accounts of cognition, but many of these accounts do not directly measure priors. More specifically, initial states of belief heavily influenc…