@inproceedings{4e387e07da0e40288bd5b8751d641496,
title = "Explanations and Causal Judgments are Differentially Sensitive to Covariation and Mechanism Information",
abstract = "We report four experiments demonstrating that judgments of explanatory goodness are sensitive both to covariation evidence and to mechanism information. Compared to judgments of causal strength, explanatory judgments tend to be more sensitive to mechanism and less sensitive to covariation. Judgments of understanding tracked covariation least closely. We discuss implications of our findings for theories of explanation, understanding and causal attribution.",
keywords = "causal strength, covariation, explanation, mechanism, understanding",
author = "Nadya Vasilyeva and Tania Lombrozo",
note = "Publisher Copyright: {\textcopyright} Cognitive Science Society, CogSci 2015.All rights reserved.; 37th Annual Meeting of the Cognitive Science Society: Mind, Technology, and Society, CogSci 2015 ; Conference date: 23-07-2015 Through 25-07-2015",
year = "2015",
language = "English (US)",
series = "Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015",
publisher = "The Cognitive Science Society",
pages = "2475--2480",
editor = "Noelle, {David C.} and Rick Dale and Anne Warlaumont and Jeff Yoshimi and Teenie Matlock and Jennings, {Carolyn D.} and Maglio, {Paul P.}",
booktitle = "Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015",
}