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Human Factors and Multilayer Networks
Vienna University of Technology, Austria.ORCID iD: 0000-0001-7880-8702
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (ISOVIS, DISA-VAESS)ORCID iD: 0000-0002-0519-2537
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Analysts of specific application domains, such as experts in systems biology or social scientists, are often interested to visually analyze a number of different network structures in conjunction, for example by using various visual structures of so-called multilayer networks. From the perspective of the human analyst, a sufficient perception and, consequently, a good understanding of those visual representations of multilayer networks is a non-trivial and often challenging task. Despite this practical importance and the clearly interesting visualization challenges, only few evaluation studies exist that investigate usability and cognitive issues of complex networks or, more specifically, multilayer networks. In this position paper, we address two main goals. On the one hand, we discuss existing studies from the fields of human-computer interaction and cognitive psychology that could inform the designers of multilayer network visualization in the future. On the other hand, we formulate first tentative recommendations for the design of multilayer networks, identify open issues in this context, and clarify possible future directions of research.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Graph Drawing, Network Visualization, Visualization, Interaction, Cognition, Human Factors, Empirical Studies, Cognitive Load
National Category
Human Computer Interaction Computer Sciences
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-87106OAI: oai:DiVA.org:lnu-87106DiVA, id: diva2:1340974
Conference
Workshop on Visualization of Multilayer Networks (MNLVIS '19) at IEEE VIS '19, October 21, 2019, Vancouver, BC, Canada
Projects
DISA-VAESSAvailable from: 2019-08-07 Created: 2019-08-07 Last updated: 2019-09-16

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Kerren, Andreas

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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