LAUSR

Abstract Introduction: As Internet bandwidth has risen, resulting in an exponential increase in the amount of data, one of the challenges is to transform large amounts of unstructured health data into legible information through visualization techniques to facilitate the decision-making between the telehealth managers. Traditionally, data visualization has been two-dimensional (2D), but it is often difficult to visualize and interpret when making decisions with multidimensional data. Three-dimensional (3D) visualization techniques are emerging to address this issue. This study aims to investigate and demonstrate the hypothesis that the use of 3D techniques for information visualization is more effective than some 2D visualization techniques. Hypothesis validation was performed with a usability methodology analyzing of the time, efficiency, effectiveness, and mental workload required in the execution of a task with a developed prototype. Materials and Methods: A random sample of telehealth professionals wa...