That's because when listening to music, nuances, can jump out at you — a bad note, for example. And researchers at Virginia Tech say the same thing may apply with number crunching. Data-set anomaly spotting, or comprehension overall, could be enhanced.
Humans are far better at identifying data pattern changes audibly than they are graphically in two dimensions, researchers exploring a radical concept say. They think that servers full of big data would be far more understandable if the numbers were all moved off the computer screens or hardcopies and sonified, or converted into sound.