Assessing Immersive Analytics to Guide Decision-Making in the Railway Safety Sector

Abstract

This short paper presents the research conducted on immersive analytics (IA) and proposes that IA can support decision making in the railway sector. The first section highlights the railway safety data challenges and the complexity of data visualizations. In the following sections, we present the design science research methodology, the created 3D IA prototype and experiment outcomes to evaluate the effects of IA in the railway safety sector. Lastly, we present the results and contributions of the IA experiments.