liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Musical sonification supports visual discrimination of color intensity
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Information Visualization)
2019 (English)In: Behaviour & Information Technology, ISSN 0144-929X, p. 1-11Article in journal (Refereed) Epub ahead of print
Abstract [en]

Visual representations of data introduce several possible challenges for the human visual perception system in perceiving brightness levels. Overcoming these challenges might be simplified by adding sound to the representation. This is called sonification. As sonification provides additional information to the visual information, sonification could be useful in supporting the visual perception. In the present study, usefulness (in terms of accuracy and response time) of sonification was investigated with an interactive sonification test. In the test, participants were asked to identify the highest brightness level in a monochrome visual representation. The task was performed in four conditions, one with no sonification and three with different sonification settings. The results show that sonification is useful, as measured by higher task accuracy, and that the participant's musicality facilitates the use of sonification with better performance when sonification was used. The results were also supported by subjective measurements, where participants reported an experienced benefit of sonification.

Place, publisher, year, edition, pages
Taylor & Francis, 2019. p. 1-11
Keywords [en]
Interactive sonification, musical elements, multimodality, visual perception, visualisation
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:liu:diva-159993DOI: 10.1080/0144929X.2019.1657952OAI: oai:DiVA.org:liu-159993DiVA, id: diva2:1347559
Available from: 2019-09-01 Created: 2019-09-01 Last updated: 2019-09-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Rönnberg, Niklas

Search in DiVA

By author/editor
Rönnberg, Niklas
By organisation
Media and Information TechnologyFaculty of Science & Engineering
Other Engineering and Technologies

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf