Randomized trial demonstrates enhanced data discovery through sonification techniques, improving accessibility for diverse researchers.
Using sound to represent data (data sonification) and exploiting the unique characteristics of sound and human hearing can provide a powerful means to enhance scientific discovery in large datasets, rapid real-time data analyses, high dimensional analyses, and to filter signals from noise. Data sonification can be used to expand, accelerate, and validate discovery for sighted, blind and visually-impaired researchers and provides capabilities to improve the quality of everyday life. We describe improvements to StarSound for 1D and multi-dimensional analyses, introduce VoxMagellan for 2D image, plot and graph analyses, discuss applications in astronomy and for low signal-to-noise ratio data, often present at the leading-edge of science. We find that data sonification can successfully push scientific research forward and expand research accessibility to the blind and visually-impaired community, while promoting STEM careers.
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Cooke et al. (2024) studied this question.
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