Proceedings of the Annual Meeting of the Cognitive Science Society

The ability to learn from others is central to our species. At the same time, we are more than able to independently learnfrom our own experience. Investigating how these pathways function in concert, past research has looked at how we inte-grate what can be learned from others with our own observations. To do so, social information is typically operationalizedas observed behavior. However, social information often comes in the form of normative advice. Humans have been shownto value decisional freedom and reject constraints to it. Some forms of social information, such as normative advice, plau-sibly comprise potential for both social learning and perceived constraint. Past research on decisional constraints posed bysocial information has been of limited granularity. We present an experimental framework to study behavior in the face ofnormative social information and explore data from two experiments using computational modeling.