Date of Award
5-11-2025
Date Published
June 2025
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Psychology
Advisor(s)
Lael Schooler
Subject Categories
Cognitive Psychology | Psychology | Social and Behavioral Sciences
Abstract
This study explored the strategies used in moral decision-making, within the context of selfdriving car scenarios. Our goal was to uncover the strategies people use when faced with moral dilemmas, using methodological approaches previously applied to the study of decision-making. The strategies that we were interested in were those that align with the ethical frameworks of utilitarianism, deontology or a blend of the two. In this study, participants were confronted with a series of moral dilemmas involving self-driving cars. Their choices and decision-making processes were analyzed using Machine Learning Strategy Identification (MLSI), which incorporated features related to the information participants attend to on the screen, as measured through eye tracking. This approach not only broadened the application of MLSI to moral decision-making but also expanded it to include eye-tracking data, whereas it previously incorporated only mouse-tracking data, final choice outcomes, and reaction times.
Access
Open Access
Recommended Citation
Siriner, Ilaria, "Identifying Strategies in Moral Decision Making" (2025). Theses - ALL. 913.
https://surface.syr.edu/thesis/913
