A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy

Autores
Casado, Johanna Maria; Garcia, Beatriz Elena
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the past decade, multimodal data analysis has gained importance, especially for including individuals with visual impairments in education and science dissemination. However, its application in scientific research is still limited due to a lack of conclusive evidence on its robustness and performance. Various sonification tools have been developed, including xsonify, starsound, strauss, and sonouno, which aim to enhance accessibility for both sighted and visually impaired users. This contribution presents sonouno (a data visualization and sonification tool) using data, and comparing to corresponding visuals displays, from established data bases like SDSS, ASAS-SN, and Project Clea for astronomical data. We show that sonouno is able to replicate the visual data displays and provide consistent auditory representations. Key features include marking absorption and emission lines (in both visual and sonification) and multicolumn sonification, which facilitates spectral comparisons through sound. This approach ensures consistency between visual and auditory data, making multimodal displays more viable for use in research, enabling greater inclusion in astronomical investigation. The study suggests that sonouno could be broadly adopted in scientific research and used to develop multimodal training courses and improve data analysis methods.
Fil: Casado, Johanna Maria. Universidad Nacional de Misiones. Facultad de Ingeniería; Argentina. Universidad de Mendoza; Argentina
Fil: Garcia, Beatriz Elena. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Materia
Multimodal Data Analysys
Sonification
sonoUno software
User Center Design
Algorithms
Multimodal Astronomy
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/248159
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/248159
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopyCasado, Johanna MariaGarcia, Beatriz ElenaMultimodal Data AnalysysSonificationsonoUno softwareUser Center DesignAlgorithmsMultimodal Astronomyhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In the past decade, multimodal data analysis has gained importance, especially for including individuals with visual impairments in education and science dissemination. However, its application in scientific research is still limited due to a lack of conclusive evidence on its robustness and performance. Various sonification tools have been developed, including xsonify, starsound, strauss, and sonouno, which aim to enhance accessibility for both sighted and visually impaired users. This contribution presents sonouno (a data visualization and sonification tool) using data, and comparing to corresponding visuals displays, from established data bases like SDSS, ASAS-SN, and Project Clea for astronomical data. We show that sonouno is able to replicate the visual data displays and provide consistent auditory representations. Key features include marking absorption and emission lines (in both visual and sonification) and multicolumn sonification, which facilitates spectral comparisons through sound. This approach ensures consistency between visual and auditory data, making multimodal displays more viable for use in research, enabling greater inclusion in astronomical investigation. The study suggests that sonouno could be broadly adopted in scientific research and used to develop multimodal training courses and improve data analysis methods.Fil: Casado, Johanna Maria. Universidad Nacional de Misiones. Facultad de Ingeniería; Argentina. Universidad de Mendoza; ArgentinaFil: Garcia, Beatriz Elena. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaOxford University Press2024-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/248159Casado, Johanna Maria; Garcia, Beatriz Elena; A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy; Oxford University Press; RAS Techniques and Instruments; 3; 1; 1-2024; 625-6352752-8200CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/rasti/article/3/1/625/7840380info:eu-repo/semantics/altIdentifier/doi/10.1093/rasti/rzae042info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:42:21Zoai:ri.conicet.gov.ar:11336/248159instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:42:21.867CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy
title A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy
spellingShingle A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy
Casado, Johanna Maria
Multimodal Data Analysys
Sonification
sonoUno software
User Center Design
Algorithms
Multimodal Astronomy
title_short A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy
title_full A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy
title_fullStr A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy
title_full_unstemmed A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy
title_sort A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy
dc.creator.none.fl_str_mv Casado, Johanna Maria
Garcia, Beatriz Elena
author Casado, Johanna Maria
author_facet Casado, Johanna Maria
Garcia, Beatriz Elena
author_role author
author2 Garcia, Beatriz Elena
author2_role author
dc.subject.none.fl_str_mv Multimodal Data Analysys
Sonification
sonoUno software
User Center Design
Algorithms
Multimodal Astronomy
topic Multimodal Data Analysys
Sonification
sonoUno software
User Center Design
Algorithms
Multimodal Astronomy
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In the past decade, multimodal data analysis has gained importance, especially for including individuals with visual impairments in education and science dissemination. However, its application in scientific research is still limited due to a lack of conclusive evidence on its robustness and performance. Various sonification tools have been developed, including xsonify, starsound, strauss, and sonouno, which aim to enhance accessibility for both sighted and visually impaired users. This contribution presents sonouno (a data visualization and sonification tool) using data, and comparing to corresponding visuals displays, from established data bases like SDSS, ASAS-SN, and Project Clea for astronomical data. We show that sonouno is able to replicate the visual data displays and provide consistent auditory representations. Key features include marking absorption and emission lines (in both visual and sonification) and multicolumn sonification, which facilitates spectral comparisons through sound. This approach ensures consistency between visual and auditory data, making multimodal displays more viable for use in research, enabling greater inclusion in astronomical investigation. The study suggests that sonouno could be broadly adopted in scientific research and used to develop multimodal training courses and improve data analysis methods.
Fil: Casado, Johanna Maria. Universidad Nacional de Misiones. Facultad de Ingeniería; Argentina. Universidad de Mendoza; Argentina
Fil: Garcia, Beatriz Elena. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
description In the past decade, multimodal data analysis has gained importance, especially for including individuals with visual impairments in education and science dissemination. However, its application in scientific research is still limited due to a lack of conclusive evidence on its robustness and performance. Various sonification tools have been developed, including xsonify, starsound, strauss, and sonouno, which aim to enhance accessibility for both sighted and visually impaired users. This contribution presents sonouno (a data visualization and sonification tool) using data, and comparing to corresponding visuals displays, from established data bases like SDSS, ASAS-SN, and Project Clea for astronomical data. We show that sonouno is able to replicate the visual data displays and provide consistent auditory representations. Key features include marking absorption and emission lines (in both visual and sonification) and multicolumn sonification, which facilitates spectral comparisons through sound. This approach ensures consistency between visual and auditory data, making multimodal displays more viable for use in research, enabling greater inclusion in astronomical investigation. The study suggests that sonouno could be broadly adopted in scientific research and used to develop multimodal training courses and improve data analysis methods.
publishDate 2024
dc.date.none.fl_str_mv 2024-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/248159
Casado, Johanna Maria; Garcia, Beatriz Elena; A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy; Oxford University Press; RAS Techniques and Instruments; 3; 1; 1-2024; 625-635
2752-8200
CONICET Digital
CONICET
url http://hdl.handle.net/11336/248159
identifier_str_mv Casado, Johanna Maria; Garcia, Beatriz Elena; A multimodal approach to data analysis in astronomy: sonouno applications in photometry and spectroscopy; Oxford University Press; RAS Techniques and Instruments; 3; 1; 1-2024; 625-635
2752-8200
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/rasti/article/3/1/625/7840380
info:eu-repo/semantics/altIdentifier/doi/10.1093/rasti/rzae042
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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