Publication Date
2022
Document Type
Thesis
Committee Members
Ashutosh Shivakumar, Ph.D. (Committee Chair); Yong Pei, Ph.D. (Committee Co-Chair); Paul J. Hershberger, Ph.D. (Committee Member); Thomas Wischgoll, Ph.D. (Committee Member)
Degree Name
Master of Science (MS)
Abstract
Education about implicit bias in clinical settings is essential for improving the quality of healthcare for underrepresented groups. Such a learning experience can be delivered in the form of a serious game simulation. WrightLIFE (Lifelike Immersion for Equity) is a project that combines two serious game simulations, with each addressing the group that faces implicit bias. These groups are individuals that identify as LGBTQIA+ and people with autism spectrum disorder (ASD). The project presents healthcare providers with a training tool that puts them in the roles of the patient and a medical specialist and immerses them in social and clinical settings. WrightLIFE games are distributed on both mobile and desktop devices and go through the entire cycle of providing healthcare professionals with experiential learning, which starts with defining the goals of the simulation and ends with collecting feedback. In this thesis work, cross-platform software frameworks like the Unity Engine have been used to develop survey scenes to comprehensively document users’ pre- and post-simulation experience and attitudes towards implicit bias. Life course scenes were designed to convey an enhanced user experience that bridges the socio-technical gap between the real and virtual worlds. By applying existing user-experience design methodologies to design the survey scenes and life course scenes, it was possible to create an immersive experiential-learning assessment tool that has the potential to deliver data-driven and targeted learning.
Page Count
74
Department or Program
Department of Computer Science and Engineering
Year Degree Awarded
2022
Copyright
Copyright 2022, all rights reserved. My ETD will be available under the "Fair Use" terms of copyright law.
ORCID ID
0000-0003-1256-763X