English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  The Psychology of Human Entropy Intuitions

Bertram, L., Schulz, E., Hofer, M., & Nelson, J. (2020). The Psychology of Human Entropy Intuitions. In S. Denison, M. Mack, Y. Xu, & B. Armstrong (Eds.), 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): 5Developing a Mind: Learning in Humans, Animals, and Machines (pp. 1457-1463). Red Hook, NY, USA: Curran. doi:10.23668/psycharchives.3016.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0006-926A-E Version Permalink: https://hdl.handle.net/21.11116/0000-000B-1E6C-C
Genre: Conference Paper

Files

show Files

Locators

show
hide
Locator:
https://cognitivesciencesociety.org/wp-content/uploads/2020/07/cogsci20_proceedings_final.pdf (Publisher version)
Description:
-
OA-Status:
Not specified

Creators

show
hide
 Creators:
Bertram, L, Author           
Schulz, E1, Author           
Hofer, M, Author
Nelson, JD, Author
Affiliations:
1Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3189356              

Content

show
hide
Free keywords: -
 Abstract: A variety of conceptualizations of psychological uncertaintyexist. From an information-theoretic perspective, probabilisticuncertainty can be formalized as mathematical entropy. Cog-nitive emotion theories posit that uncertainty appraisals andmotivation to reduce uncertainty are modulated by emotionalstate. Yet little is known about how people evaluate proba-bilistic uncertainty, and about how emotional state modulatespeople’s evaluations of probabilistic uncertainty and behaviorto reduce probabilistic uncertainty. We tested intuitive entropyevaluations and entropy reduction strategies across four emo-tion conditions in the Entropy Mastermind game. We used theunified Sharma-Mittal space of entropy measures to quantifyparticipants’ entropy evaluations. Results suggest that manypeople use a heuristic strategy, focusing on the number of pos-sible outcomes, irrespective of the probabilities in the proba-bility distribution. This result is surprising, given that previouswork suggested that people are very sensitive to the maximumprobability when choosing queries on probabilistic classifica-tion tasks. Emotion induction generally increased participants’heuristic assessment. The uncertainty associated with emo-tional states also affected game play: participants needed fewerqueries and spent less time on games in high-uncertainty thanin low-uncertainty emotional states. Yet entropy perceptionswere not related to subjectively reported uncertainty, numer-acy or entropy knowledge, suggesting that entropy perceptionsmay form an independent psychological construct.

Details

show
hide
Language(s):
 Dates: 2020-072020-11
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.23668/psycharchives.3016
 Degree: -

Event

show
hide
Title: 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020)
Place of Event: Toronto, Canada
Start-/End Date: 2020-07-29 - 2020-08-01

Legal Case

show

Project information

show

Source 1

show
hide
Title: 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): 5Developing a Mind: Learning in Humans, Animals, and Machines
Source Genre: Proceedings
 Creator(s):
Denison, S, Editor
Mack, M, Editor
Xu, Y, Editor
Armstrong, BC, Editor
Affiliations:
-
Publ. Info: Red Hook, NY, USA : Curran
Pages: 3569 Volume / Issue: - Sequence Number: P-1-120 Start / End Page: 1457 - 1463 Identifier: ISBN: 978-1-7138-1897-7