One of the major research areas that is being explored at the Sonification Lab is the creation and use of Auditory Graphs. This research seeks to discover the optimal data-to-display mappings for use in scientific sonification and investigate whether these optimal mappings vary within and/or across fields of application. This is being done through four projects:
Simple yet powerful software package for creating data sonifications and auditory graphs. Includes the ability to import data, map data to sound parameters in multiple flexible ways, add contextual sounds like click tracks and notifications, and save the resulting sound file. Written in cross-platform Java/JavaSound.
Latest Sonification Sandbox Installer (platform independent)
Latest Sonification Sandbox Installer (mac)
Creating a (visual) graph without axes, tick marks, or labels will generally earn you an 'F' in highschool math class. After all, it is just a squiggle on a page without the added context that those things provide. Auditory graphs require the same elements, so we are studying how best to create them, introduce them into an auditory graph, and examine how people learn to use them for better (auditory) graph comprehension.
Every person hears things slightly differently. How can we determine, in advance, what these differences will make (if any) in the perception and comprehension of auditory graphs and sonification? What are the characteristics of the listener that predict performance? We are