Augmenting analytics : Situated Data Visualization towards decision-making for EMC testing

Abstract: The present work proposes the use of information visualization techniques allied to an Augmented Reality user interface to provide in-formation that helps professionals to analyse data, however spatially situated where it was originally measured. This problem and the proposed solution may be adapted into different professional contexts. Three use case visualizations were designed, implemented and testedin the following task contexts: classroom seat analysis, GPS route following and EMC data extraction. Apart from visualizing the situated data, users may also interact with it to narrow down their search by switching the attributes being displayed, combining them together, applying filters, changing its formatting and extracting data from it. The approaches being proposed in this work were tested against each other in comparable 2D and3D interactive visualizations of the same data in a series of usability and performance assessments with users to validate the solutions. The goal was to ultimately expose whether AR can help users to perform better in different decision-making contexts. Our tests exposed relevant results in a series of the variables measured, such as accuracy, correctness, distance travelled and time taken.