Literature DB >> 28275989

Evaluating everyday explanations.

Jeffrey C Zemla1, Steven Sloman2, Christos Bechlivanidis3, David A Lagnado3.   

Abstract

People frequently rely on explanations provided by others to understand complex phenomena. A fair amount of attention has been devoted to the study of scientific explanation, and less on understanding how people evaluate naturalistic, everyday explanations. Using a corpus of diverse explanations from Reddit's "Explain Like I'm Five" and other online sources, we assessed how well a variety of explanatory criteria predict judgments of explanation quality. We find that while some criteria previously identified as explanatory virtues do predict explanation quality in naturalistic settings, other criteria, such as simplicity, do not. Notably, we find that people have a preference for complex explanations that invoke more causal mechanisms to explain an effect. We propose that this preference for complexity is driven by a desire to identify enough causes to make the effect seem inevitable.

Entities:  

Keywords:  Causal reasoning; Explanation; Knowledge

Mesh:

Year:  2017        PMID: 28275989     DOI: 10.3758/s13423-017-1258-z

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  16 in total

1.  Reasoning from inconsistency to consistency.

Authors:  P N Johnson-Laird; Vittorio Girotto; Paolo Legrenzi
Journal:  Psychol Rev       Date:  2004-07       Impact factor: 8.934

Review 2.  Explanation and understanding.

Authors:  Frank C Keil
Journal:  Annu Rev Psychol       Date:  2006       Impact factor: 24.137

3.  The seductive allure of neuroscience explanations.

Authors:  Deena Skolnick Weisberg; Frank C Keil; Joshua Goodstein; Elizabeth Rawson; Jeremy R Gray
Journal:  J Cogn Neurosci       Date:  2008-03       Impact factor: 3.225

4.  A new readability yardstick.

Authors:  R FLESCH
Journal:  J Appl Psychol       Date:  1948-06

5.  Causal attribution as a search for underlying mechanisms: an explanation of the conjunction fallacy and the discounting principle.

Authors:  W K Ahn; J Bailenson
Journal:  Cogn Psychol       Date:  1996-08       Impact factor: 3.468

Review 6.  Causality in thought.

Authors:  Steven A Sloman; David Lagnado
Journal:  Annu Rev Psychol       Date:  2014-07-21       Impact factor: 24.137

7.  Neglect of alternative causes in predictive but not diagnostic reasoning.

Authors:  Philip M Fernbach; Adam Darlow; Steven A Sloman
Journal:  Psychol Sci       Date:  2010-02-17

8.  Harry Potter and the sorcerer's scope: latent scope biases in explanatory reasoning.

Authors:  Sangeet S Khemlani; Abigail B Sussman; Daniel M Oppenheimer
Journal:  Mem Cognit       Date:  2011-04

9.  Discerning the Division of Cognitive Labor: An Emerging Understanding of How Knowledge Is Clustered in Other Minds.

Authors:  Frank C Keil; Courtney Stein; Lisa Webb; Van Dyke Billings; Leonid Rozenblit
Journal:  Cogn Sci       Date:  2008-03-01

10.  Concreteness and abstraction in everyday explanation.

Authors:  Christos Bechlivanidis; David A Lagnado; Jeffrey C Zemla; Steven Sloman
Journal:  Psychon Bull Rev       Date:  2017-10
View more
  5 in total

1.  Successful structure learning from observational data.

Authors:  Anselm Rothe; Ben Deverett; Ralf Mayrhofer; Charles Kemp
Journal:  Cognition       Date:  2018-07-02

2.  Preface for the special issue on The Process of Explanation : Guest Editors: Andrei Cimpian (New York University) and Frank Keil (Yale University).

Authors:  Andrei Cimpian; Frank Keil
Journal:  Psychon Bull Rev       Date:  2017-10

3.  People's explanatory preferences for scientific phenomena.

Authors:  Deena Skolnick Weisberg; Emily J Hopkins; Jordan C V Taylor
Journal:  Cogn Res Princ Implic       Date:  2018-11-21

4.  Explanatory preferences for complexity matching.

Authors:  Jonathan B Lim; Daniel M Oppenheimer
Journal:  PLoS One       Date:  2020-04-21       Impact factor: 3.240

5.  The Preference for Joint Attributions Over Contrast-Factor Attributions in Causal Contrast Situations.

Authors:  Moyun Wang; Mingyi Zhu
Journal:  Front Psychol       Date:  2019-08-23
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.