Perceptual Interpolation and Open-Ended Exploration of Auditory Icons and Earcons
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The design of cognitive artifacts for systematic exploration of sound spaces poses a significant challenge in auditory display re- search. This is especially the case if the artifact is to be based on the user’s individual perceptual capabilities rather than a pre- defined perceptual model or a purely numerical relationship be- tween the various sounds in the sound space. In this paper, we pro- pose a tensor algebraic tuning model that allows for the systematic tuning and interpolation of parametric auditory icons and earcons in a way that satisfies this challenge. The proposed approach views earcons as being composed of any number of auditory icons at a lower level, thus allowing for the systematic modification of both auditory icons and earcons via local and global interactions. Due to the granular representation used by the model, it becomes pos- sible to approximate the user’s perceptual sensitivity locally in the parametric space used to generate the auditory icons and earcons.