Applying the MOST Framework for a More Systematic Approach to Research Using Virtual Reality

Abstract

This article introduces the application of the Multiphase Optimization Strategy (MOST) to virtual reality (VR) research, aiming to enhance the design, efficiency, and scalability of immersive interventions. MOST is a systematic, iterative framework that guides researchers through a multi-phase process of developing, testing, and refining experimental components. Its structured approach is particularly well suited to the complexity of VR studies, where multiple environmental, technical, and user-related variables interact. By applying MOST, researchers can isolate and optimize the most effective elements of a virtual intervention, allowing for tailored, resource-efficient, and replicable designs. The article discusses the methodological advantages of MOST in managing design complexity and promoting large-scale implementation, while also acknowledging its potential limitations and areas for future development.