liu.seSök publikationer i DiVA
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Musical Elements in Sonification Support Visual Perception
Linköpings universitet, Institutionen för teknik och naturvetenskap, Medie- och Informationsteknik. Linköpings universitet, Tekniska fakulteten. (Information Visualization)ORCID-id: 0000-0002-1334-0624
2019 (Engelska)Ingår i: Proceedings of the 31st European Conference on Cognitive Ergonomics (ECCE 2019), New York, NY, USA: Association for Computing Machinery (ACM), 2019, s. 114-117Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Visual representations of data are commonly used to communicate research results. However, such representations might introduce several possible challenges for the human visual perception system, for example in perceiving brightness levels. Sonification, adding sound to the visual representation, might be used to overcome these challenges. As sonification provides additional information, sonification could be useful in supporting interpretations of a visual perception. In the present study, usefulness in terms of accuracy of sonification was investigated with an interactive sonification test. In the experiment, 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.

Ort, förlag, år, upplaga, sidor
New York, NY, USA: Association for Computing Machinery (ACM), 2019. s. 114-117
Nyckelord [en]
sonification, interactive sonification, musical elements, visualization
Nationell ämneskategori
Signalbehandling
Identifikatorer
URN: urn:nbn:se:liu:diva-160238DOI: 10.1145/3335082.3335097ISI: 000587608600026ISBN: 978-1-4503-7166-7 (tryckt)OAI: oai:DiVA.org:liu-160238DiVA, id: diva2:1350796
Konferens
31st European Conference on Cognitive Ergonomics (ECCE 2019)
Tillgänglig från: 2019-09-12 Skapad: 2019-09-12 Senast uppdaterad: 2021-07-08

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext

Person

Rönnberg, Niklas

Sök vidare i DiVA

Av författaren/redaktören
Rönnberg, Niklas
Av organisationen
Medie- och InformationsteknikTekniska fakulteten
Signalbehandling

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 271 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf