Parameter Mapping Sonic Articulation and the Perceiving Body
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In data sonification research, there is a well-known perceptual problem that arises when abstract multivariate datasets of a certain size and complexity are parametrically mapped into sound. In listening to such sonifications, when a feature appears, it is sometimes difficult to ascertain whether that feature is actually a feature of the dataset or just a resultant of the psychoacoustic interaction between co-dependent parametric dimensions. A similar effect occurs in visualisation, such as when parallel lines can appear more or less curved on different backgrounds. Couched in psycho-philosophical terms, we can ask whether this failure is related to classical phenomenology's inability to produce an eidetic science of essential invariant forms that involve no assertion of actual material existence, or to there not yet having been found some generalisably acceptable limits from heuristically tested mappings. This paper discusses the nature of this problem and introduces a sonification research project based on embodied, non-representational phenomenal models of perception.