{"pk":29105,"title":"The Role of Causal Information and Perceived Knowledge in Decision-Making","subtitle":null,"abstract":"Causal knowledge is key to making effective decisions, yet little is known about how we combine new causal informa-tion with what we already know. This scenario, with a mix of prior beliefs and new information is common to manysettings, and is pervasive in health decisions. We specifically examine how decision-making with causal models differs inabstract decisions versus those more reminiscent of daily life, and how new information interacts with people’s perceivedknowledge about the decision-making domains. We found that while people can successfully use causal models to answerabstract questions, causal models can lead to worse choices in everyday decisions, especially when people believe theyknow a lot about the domain (Experiment 1). We then used an IOED task to determine if showing people how little theyactually understand about a domain may improve the use of causal models in decision-making (Experiment 2).","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Poster Presentations with Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/2p2403kk","frozenauthors":[{"first_name":"Min","middle_name":"","last_name":"Zheng","name_suffix":"","institution":"Stevens Institute of Technology","department":""},{"first_name":"Jessecae","middle_name":"","last_name":"Marsh","name_suffix":"","institution":"Lehigh University","department":""},{"first_name":"Samantha","middle_name":"","last_name":"Kleinberg","name_suffix":"","institution":"Stevens Institute of Technology","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2019-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/29105/galley/18976/download/"}]}