A Phenomenological Approach to Enhancing Mixed Reality User Adoption for Improved Data Interpretation and Visualization in Digital Twin Environments
Andrew De Juan · 2024
The ever-increasing availability, use and convergence of data, in the context of industry, means a holistic approach to understanding its potential and possible limitations is required to unlock greater insights and productivity. The objective of my proposed research is to investigate an individual user's experience when presented with visualized data through mixed reality (MR) as the chosen modality. More specifically, data from industrial contexts i.e., manufacturing process data, systems data, energy data, etc. Thus, an immersive digital twin (DT) through a holographic medium and user interface. The incorporation of neurophenomenology in the methodology with observations on objective neural processes as well as phenomenological methods can create a multi-layered approach which will enable the analysis of user experiences from subjective, behavioral, and neurological perspectives. It explores whether the experiential feedback impacts the user positively or negatively and whether that transition from conventional 2-dimensional (2D) monitor interface to immersive 3D holograms have a significant impact on the human user due to this modality change with MR offering visuospatial context.