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Listener ratings of how parameters affect understanding of data and their overall perceived importance.

Listener ratings of how parameters affect understanding of data and their overall perceived importance.

Source publication
Conference Paper
Full-text available
One underexplored method for examining sonification perception is through spatialised audio parameter mapping. To lower the entry threshold for listeners unfamiliar with sonification, binaural rendering of Ambisonic audio is employed as a spatialisation technique. A Pure Data patch was developed and a listener study was conducted to investigate par...

Contexts in source publication

Context 1
... most frequently cited word used describing change was "pitch". Twelve of the nineteen participants observed some change in fre- quency over the course of the piece, making it the most influential factor for listener recognition of auditory change (see Table 2). By contrast, a third of listeners noted changes to the spatial dynamics of the sounds making it the least noticed parameter. ...
Context 2
... were asked to rank from 1 to 4 the importance they attached to each parameter in understanding changes in the dataset. The parameter considered to be overwhelmingly the most important in understanding data movement is pitch, which was rated first by twelve participants, followed by tempo (five participants) (see Table 2). While volume was also considered to be an important factor there was much less agreement overall as a third of the participants (six) rated it as the least important parameter. ...
Context 3
... most frequently cited word used describing change was "pitch". Twelve of the nineteen participants observed some change in fre- quency over the course of the piece, making it the most influential factor for listener recognition of auditory change (see Table 2). By contrast, a third of listeners noted changes to the spatial dynamics of the sounds making it the least noticed parameter. ...
Context 4
... were asked to rank from 1 to 4 the importance they attached to each parameter in understanding changes in the dataset. The parameter considered to be overwhelmingly the most important in understanding data movement is pitch, which was rated first by twelve participants, followed by tempo (five participants) (see Table 2). While volume was also considered to be an important factor there was much less agreement overall as a third of the participants (six) rated it as the least important parameter. ...

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