Graduation Date
Fall 2021
Document Type
Thesis
Program
Master of Arts degree with a major in Psychology, option Academic Research
Committee Chair Name
Ethan Gahtan
Committee Chair Affiliation
HSU Faculty or Staff
Second Committee Member Name
Amber Gaffney
Second Committee Member Affiliation
HSU Faculty or Staff
Third Committee Member Name
Amanda Hahn
Third Committee Member Affiliation
HSU Faculty or Staff
Keywords
COVID-19, Disgust, Behavioral immune system, Group identification
Subject Categories
Psychology
Abstract
The current Coronavirus pandemic has yielded an abundance of concerns regarding the psychological effects of isolating a highly social species through widespread lockdowns and enhanced social distancing. Research show that many are suffering from mental health crises, while also refusing to isolate (Brooks et al., 2020; Czeiler, et al., 2020). These behaviors combine to increase risk of viral infection. An emerging term to explain this paradox is “Caution Fatigue”. Yet, there is no research that outlines its specific underlying mechanisms. The goal of this paper is to propose a series of models that delineate caution fatigue through the effects a) uncertainty b) the stereotype content model (Fiske et al., 2002) and c) group identification have on predicting the inhibition of risk perception through disgust. While caution fatigue is not ultimately observed, the conditions which one is willing to engage or mitigate risk are discussed. Unmasked faces are found to be viewed in a more negative affective state than masked faces which lends to increased feelings of group identification alongside uncertainty to promote feelings of disgust and risk. The findings presented here lack to perfectly encapsulate caution fatigue, but there is evidence of xenophobia against members of Asian heritage. Observations and implications are explained further.
Citation Style
APA
Recommended Citation
Ashworth, Logan F., "Caution fatigue: group identification and disgust provide protection in the COVID-19 pandemic" (2021). Cal Poly Humboldt theses and projects. 533.
https://digitalcommons.humboldt.edu/etd/533