<resource xmlns:datacite="http://datacite.org/schema/kernel-4">
<creators>
<creator>
<creatorName>Enge, Kajetan (St. Pölten University of Applied Sciences)</creatorName>
<givenName>Kajetan</givenName>
<familyName>Enge</familyName>
</creator>
<creator>
<creatorName>Rind, Alexander (St. Pölten University of Applied Sciences)</creatorName>
<givenName>Alexander</givenName>
<familyName>Rind</familyName>
</creator>
<creator>
<creatorName>Iber, Michael (St. Pölten University of Applied Sciences)</creatorName>
<givenName>Michael</givenName>
<familyName>Iber</familyName>
</creator>
<creator>
<creatorName>Höldrich, Robert (University of Music and Performing Arts Graz)</creatorName>
<givenName>Robert</givenName>
<familyName>Höldrich</familyName>
</creator>
<creator>
<creatorName>Aigner, Wolfgang (St. Pölten University of Applied Sciences)</creatorName>
<givenName>Wolfgang</givenName>
<familyName>Aigner</familyName>
</creator>
</creators>
<titles>
<title>Prototype and Demo of the SoniScope prototype</title>
</titles>
<descriptions>
<description descriptionType="Other">The metaphor of auscultating with a stethoscope can be an inspiration to combine visualization and sonification for exploratory data analysis. This paper presents SoniScope, a multimodal approach and its prototypical implementation based on this metaphor. It combines a scatterplot with an interactive parameter mapping sonification, thereby conveying additional information about items that were selected with a visual lens. SoniScope explores several design options for the shape of its lens and the sorting of the selected items for subsequent sonification. Furthermore, the open-source prototype serves as a blueprint framework for how to combine D3.js visualization and SuperCollider sonification in the Jupyter notebook environment.

This contains a Jupyter notebook, a python package with a Jupyter widget, its source code, and demo data. Setup instructions can be found in README.md.</description>
<description descriptionType="Other">MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.</description>
</descriptions>
<resourceType resourceTypeGeneral="Other">Asset</resourceType>
<language>en</language>
<dates>
<date dateType="Created">2022-05-25T07:14:58.650Z</date>
</dates>
<subjects>
<subject>Jupyter</subject>
<subject>prototype</subject>
<subject>audio-visual analytics</subject>
<subject>visual analytics</subject>
<subject>visualization</subject>
<subject>sonification</subject>
</subjects>
<sizes>
<size>1831439 b</size>
</sizes>
<formats>
<format>application/x-zip-compressed</format>
</formats>
<rightsList>
<rights>All rights reserved</rights>
</rightsList>
</resource>
