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PAMPAS: A PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification
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 have designed their individual sonification from scratch. There are no standards in sonification design and evaluation. But researchers and p...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583394/ https://www.ncbi.nlm.nih.gov/pubmed/36277997 http://dx.doi.org/10.3389/fnins.2022.930944 |
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author | Ziemer, Tim Schultheis, Holger |
author_facet | Ziemer, Tim Schultheis, Holger |
author_sort | Ziemer, Tim |
collection | PubMed |
description | 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 have designed 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 a wide consensus that psychoacocustics could play an important role in the sonification design and evaluation phase. But this requires a) an adaption of psychoacoustic methods to the signal types of sonification and b) a preparation of the sonification for the psychoacoustic experiment procedure. In this method paper, we present a PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification (PAMPAS) dedicated to the researchers of sonification. A well-defined and well-established, efficient, reliable, and replicable just noticeable difference (JND) experiment using the maximum likelihood procedure (MLP) serves as the basis to achieve perceptual 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 scores from standardized data space and a standardized procedure. These scores can serve to compare multiple sonification designs of a single researcher or even among different research groups. This method can supplement other sonification designs and evaluation methods from a perceptual viewpoint. |
format | Online Article Text |
id | pubmed-9583394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95833942022-10-21 PAMPAS: A PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification Ziemer, Tim Schultheis, Holger Front Neurosci Neuroscience 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 have designed 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 a wide consensus that psychoacocustics could play an important role in the sonification design and evaluation phase. But this requires a) an adaption of psychoacoustic methods to the signal types of sonification and b) a preparation of the sonification for the psychoacoustic experiment procedure. In this method paper, we present a PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification (PAMPAS) dedicated to the researchers of sonification. A well-defined and well-established, efficient, reliable, and replicable just noticeable difference (JND) experiment using the maximum likelihood procedure (MLP) serves as the basis to achieve perceptual 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 scores from standardized data space and a standardized procedure. These scores can serve to compare multiple sonification designs of a single researcher or even among different research groups. This method can supplement other sonification designs and evaluation methods from a perceptual viewpoint. Frontiers Media S.A. 2022-10-06 /pmc/articles/PMC9583394/ /pubmed/36277997 http://dx.doi.org/10.3389/fnins.2022.930944 Text en Copyright © 2022 Ziemer and Schultheis. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Ziemer, Tim Schultheis, Holger PAMPAS: A PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification |
title | PAMPAS: A PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification |
title_full | PAMPAS: A PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification |
title_fullStr | PAMPAS: A PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification |
title_full_unstemmed | PAMPAS: A PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification |
title_short | PAMPAS: A PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification |
title_sort | pampas: a psychoacoustical method for the perceptual analysis of multidimensional sonification |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583394/ https://www.ncbi.nlm.nih.gov/pubmed/36277997 http://dx.doi.org/10.3389/fnins.2022.930944 |
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