Musical sonification supports visual discrimination of color intensity
Niklas Rönnberg
Behaviour and Information Technology, 2019, vol. 38, issue 10, 1028-1037
Abstract:
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.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2019.1657952 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:38:y:2019:i:10:p:1028-1037
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2019.1657952
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().