Cited by 50Data Visualization and AnalyticsTactile and Sensory InteractionsMusic Technology and Sound Studies

Pie chart sonification

Franklin, K.M., Roberts, J.C.·2004·Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003.

Abstract

Different acoustic variables such as pitch, volume, timbre and position can be used to represent quantitative, qualitative and categorical aspects of the information. Such sonifications are particularly useful for those with visual impairments; they are also beneficial in circumstances where visual representations would be impossible to use or to enrich a graphical realization. We demonstrate methods of representing an audible pie chart representation such that the hearer understands the information through an equivalent representation. We implement and evaluate five designs. In each, the user is positioned at the center of the chart and perceives the information through positional sound sources.

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Crossref · 10.1109/iv.2003.1217949

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Authors
Franklin, K. M., & Roberts, J. C.
Affiliations
University of Kent (GB)
Venue
Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003.
Published
2004-01-23
Pages
4-9
OpenAlex
W2160927393
Cited by
50
References
0
Citations by year
2026: 1 · 2025: 1 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 3 · 2019: 2 · 2018: 3 · 2015: 1 · 2012: 3
FWCI
4.73
Type
conference paper
Language
en
Open access
closed
Locations
  • IEEE Conference on Information Visualization (IV) (publishedVersion)
  • Kent Academic Repository (University of Kent) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Music Technology and Sound Studies
Keywords
sonification, pie charts, auditory data representation, visual impairment, accessibility, categorical data

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