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From Visual Art to Music: Sonification Can Adapt to Painting Styles and Augment User Experience.

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Title: From Visual Art to Music: Sonification Can Adapt to Painting Styles and Augment User Experience.
Authors: Nadri, Chihab (AUTHOR), Anaya, Chairunisa (AUTHOR), Yuan, Shan (AUTHOR), Jeon, Myounghoon (AUTHOR)
Source: International Journal of Human-Computer Interaction. Sep2023, Vol. 39 Issue 15, p3032-3044. 13p. 2 Color Photographs, 3 Charts, 3 Graphs.
Subjects: Art, User experience, Art exhibitions, Artistic style, Electronic data processing
Abstract: Advances in the fields of data processing and sonification have been applied to transcribe a variety of visual experiences into an auditory format. Although image sonification examples exist, the application of these principles to visual art has not been examined thoroughly. We sought to develop and evaluate a set of guidelines for the sonification of visual artworks. Through conducting expert interviews (N = 11), we created an initial sonification algorithm that accounts for art style, lightness, and color diversity to modulate the sonified output in terms of tempo and pitch. This algorithm was evaluated through user evaluations (N = 22). User study responses supported expert interview findings, the notion that sonification can be designed to match the experience of viewing an artwork, and showed interesting interaction effects among art styles, visual components, and musical parameters. We suggest the proposed guidelines can augment visitor experiences at art exhibits and provide the basis for further experimentation. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: From Visual Art to Music: Sonification Can Adapt to Painting Styles and Augment User Experience.
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  Data: <searchLink fieldCode="AR" term="%22Nadri%2C+Chihab%22">Nadri, Chihab</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Anaya%2C+Chairunisa%22">Anaya, Chairunisa</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yuan%2C+Shan%22">Yuan, Shan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jeon%2C+Myounghoon%22">Jeon, Myounghoon</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Sep2023, Vol. 39 Issue 15, p3032-3044. 13p. 2 Color Photographs, 3 Charts, 3 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Art%22">Art</searchLink><br /><searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink><br /><searchLink fieldCode="DE" term="%22Art+exhibitions%22">Art exhibitions</searchLink><br /><searchLink fieldCode="DE" term="%22Artistic+style%22">Artistic style</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Advances in the fields of data processing and sonification have been applied to transcribe a variety of visual experiences into an auditory format. Although image sonification examples exist, the application of these principles to visual art has not been examined thoroughly. We sought to develop and evaluate a set of guidelines for the sonification of visual artworks. Through conducting expert interviews (N = 11), we created an initial sonification algorithm that accounts for art style, lightness, and color diversity to modulate the sonified output in terms of tempo and pitch. This algorithm was evaluated through user evaluations (N = 22). User study responses supported expert interview findings, the notion that sonification can be designed to match the experience of viewing an artwork, and showed interesting interaction effects among art styles, visual components, and musical parameters. We suggest the proposed guidelines can augment visitor experiences at art exhibits and provide the basis for further experimentation. [ABSTRACT FROM AUTHOR]
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  Label:
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  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/10447318.2022.2091210
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      – Code: eng
        Text: English
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        PageCount: 13
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        Type: general
      – SubjectFull: User experience
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      – SubjectFull: Art exhibitions
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      – SubjectFull: Artistic style
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      – SubjectFull: Electronic data processing
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      – TitleFull: From Visual Art to Music: Sonification Can Adapt to Painting Styles and Augment User Experience.
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            – D: 30
              M: 09
              Text: Sep2023
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