Confronting whiteness through virtual humans: a review of 20 years of research in prejudice and racial bias using virtual environments
Year: 2022
Type: article
Study design: Systematic Review
Abstract: Virtual environments (VEs) provide novel ways for users to experience computer generated people and places, which can be used by researchers to examine and reduce racial bias. However, unless researchers consider the systemtic structures of racial inequities when designing their simulations, they may unintentionally create experiences that could prime or entrench racist beliefs or attitudes. A critical Whiteness framework guides this systematic review of 20 years of prejudice and bias reduction research in VEs. Of the 68 articles, findings indicated that virtual experiences are a promising tool in anti-bias interventions. Future research must expand to more longitudinal, behaviorally focused studies while prioritizing predictive theoretical models and meaningfully reflecting on inclusive practices within the broader bias reduction space. We discuss best practices for future research in anti-bias and anti-prejudice in VEs.
DOI: 10.1093/jcmc/zmac016
Authors: Haley R Hatfield, Sun Joo (Grace) Ahn, Matthew Klein, Kristine L Nowak
Institutions: University of Georgia, University of Connecticut
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: diamond
OpenAlex ID: W4296816639