Year: 2014
Type: article
Abstract: Beliefs are a fundamental component of our daily decisions, and as such, beliefs about our health have a huge impact on our health behaviors.Poor medication adherence is a welldocumented problem and while it has been extensively researched, it has yet to be addressed using a Bayesian framework.This study aims to use a mixture model to understand belief updating as it affects decision making.Using an established experimental paradigm in categorical perception, we test memory and prediction in order to establish a model that can explain human belief updating.Results indicate that a mixture model provides a good explanation of participant behavior in this paradigm.
Authors: Talia Robbins, Pernille Hemmer, Yubei Tang
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2407955502