A comparision of audio & visual analysis of complex time-series data sets
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This paper describes an experiment to compare user understanding of complex data sets presented in two different modalities, a) in a visual spectrogram, and b) via audification. Many complex time-series data sets taken from helicopter flight recordings were presented to the test subjects in both modalities separately. The aim was to see if a key set of attributes (noise, repetitive elements, regular oscillations, discontinuities, and signal power) were discernable to the same degree in the different modalities. Statistically significant correlations were found for all attributes, which shows that audification can be used as an alternative to spectrograms for this type of analysis.