PAMPAS: A PsychoAcoustical Method for the Perceptual Analysis of Multidimensional Sonification

Abstract

The sonification of data to communicate information to a user is a relatively new approach that established itself around the 1990s. To date many researchers design their individual sonification from scratch. There are no standards in sonification design and evaluation. But researchers and practitioners have formulated several requirements and established several methods. There is wide consensus that psychoaocustics could play an important role in the sonification design and evaluation phase. But this requires an adaption of psychoacoustic methods to the signal types and the requirements of sonification. In this method paper we present PAMPAS, a PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification. A well-defined and well-established, efficient, reliable and replicable Just Noticeable Difference experiment using the Maximum Likelihood Procedure serves as the basis to achieve linearity of parameter mapping during the sonification design stage and to identify and quantify perceptual effects during the sonification evaluation stage, namely the perceptual resolution, hysteresis effects and perceptual interferences. The experiment results are universal scores from a standardized data space and a standardized procedure. These scores can serve to compare multiple sonification designs of a single researcher, or even between different research groups. The method can supplement other sonification design and evaluation methods from a perceptual viewpoint.

Identifying a Perceptually Congruent Frequency Range for Auditory Line Charts

“…In recent years, new web tools [1,2], as well as more comprehensive design and evaluation methodologies [3,4], have helped elevate sonification towards being a viable instrument for relaying scientific data. In relation to user-evaluation, there is an increasing emphasis put on assessing participants' perception of sonic elements within an application's sonification approach [5,6] as opposed to simply performance-testing it.…”