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First in a series of articles on sonification.
Sonification at NCSA: An interview with Robin Bargar




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Adding the Element of Sound

One of the goals of science is to produce knowledge from data. At NCSA, software developers use visualization tools to implement this transformation, with the theory that new visualization tools will produce new levels of understanding. For example, Tim Karr, of the University of Chicago, found the sonification of Crumbs dramatically improved visualizations of his work. Karr studies the molecular biology of fertilization in Drosophila (fruit fly) sperm tails . Since these tails are complex, three dimensional structures well outside the realm of common experience, virtual environments are necessary to understanding and knowledge generation. Karr found that the auditory information provided by the sonification aided the creation of a mathematical model from the raw dataset.

The design and implementation of the Crumbs sonification is the brain child of Robin Bargar, principal investigator of NCSA's Audio Development Group. Bargar sees numerous ways in which patterns can be found in scientific data by applying sound, but he must convince researchers of the usefulness of this new tool. "The skepticism associated with the birth of visualization has a parallel in the emergence of sonification. For example, from time to time one encounters the challenge to 'give an example of a scientific discovery that was made using computer-generated sound.' Well, that line of argumentation is like expecting the amoeba to invent the microscope. We know of many contexts where sound calls our attention and enhances what is seen. We listen to our car engine to determine when it's time for a tune up, or sometimes a siren warns us about an ambulance we can't see. If we don't support sound tools' development we will not be able to put the power of sound to work for the benefit of scientific understanding." Of significant note, Bargar points to people in education and those developing tools for the visually impaired who have found this type of auditory information to be tremendously useful.

In the last few years, creating sound for visualization has become more and more critical. Bargar's goal is to work toward inventing an effective sound palette for researchers. "There's never been a widely available sonification workbench. The newness of the idea makes it a challenge for the research community. There is a need to identify elements within the sonification architecture -- which is hardware independent -- that will serve the demand for the creation of quality sound in scientific work." So for each project his team composes a "surface for the sound" in a way that when the data changes the researcher's experience allows him/her to reflect on how it's changing. Bargar says the listener grows accustomed to paying attention to two types of changes -- the visual and the aural.

Bargar's team of composers and sound engineers investigate alternatives to traditional sonification, which is basic data-driven sound synthesis. "Over the past six or seven years, people discovered that since you could produce sound with numbers, you could then apply scientific data to control those numeric parameters and the sounds would change. In traditional sonification, that was the limit of the approach. Little regard was given for the circumstances of the listener. But," Bargar continues, "that doesn't take the process far enough since people don't listen to sound in a vacuum." Since all listeners make many decisions on what to pay attention to, Bargar believes sounds have meaning because of their relationships to other sounds in that environment.

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