Date of Award
2021
Document Type
Open Access Master's Report
Degree Name
Master of Science in Computer Science (MS)
Administrative Home Department
Department of Computer Science
Advisor 1
Scott Kuhl
Committee Member 1
Charles Wallace
Committee Member 2
Will Cantrell
Abstract
Over the last 30 years, Virtual Reality (VR) research has shown that distance perception in VR is compressed as compared to the real world. The full reason for this is yet unknown. Though many experiments have been run to study the underlying reasons for this compression, often with similar procedures, the experimental details either show significant variation between experiments or go unreported. This makes it difficult to accurately repeat or compare experiments, as well as negatively impacts new researchers trying to learn and follow current best practices. In this paper, we present a review of past research and things that are typically left unreported. Using this and the practices of my advisor as evidence, we suggest a standard to assist researchers in performing quality research pertaining to blind direct walking distance judgments in VR.
Recommended Citation
Massoglia, Crystal, "Blind Direct Walking Distance Judgment Research: A Best Practices Guide", Open Access Master's Report, Michigan Technological University, 2021.