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Analysis of Long Duration Eye-Tracking Experiments in a Remote Tower Environment
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Information Visualization)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
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2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Eye-Tracking experiments have proven to be of great assistance in understanding human computer interaction across many fields. Most eye-tracking experiments are non-intrusive and so do not affect the behaviour of the subject. Such experiments usually last for just a few minutes and so the spatio- temporal data generated by the eye-tracker is quite easy to analyze using simple visualization techniques such as heat maps and animation. Eye tracking experiments in air traffic control, or maritime or driving simulators can, however, last for several hours and the analysis of such long duration data becomes much more complex. We have developed an analysis pipeline, where we identify visual spatial areas of attention over a user interface using clustering and hierarchical cluster merging techniques. We have tested this technique on eye tracking datasets generated by air traffic controllers working with Swedish air navigation services, where each eye tracking experiment lasted for ∼90 minutes. We found that our method is interactive and effective in identification of interesting patterns of visual attention that would have been very difficult to locate using manual analysis.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Remote tower, Eye tracking, Spatio-temporal clustering
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:liu:diva-160959OAI: oai:DiVA.org:liu-160959DiVA, id: diva2:1361634
Conference
Thirteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2019), Vienna, Austria, June 17-21, 2019
Funder
Swedish Transport AdministrationSwedish Research CouncilAvailable from: 2019-10-16 Created: 2019-10-16 Last updated: 2019-10-25Bibliographically approved

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Muthumanickam, PrithivirajNordman, AidaLundberg, JonasCooper, Matthew

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CiteExportLink to record
Permanent link

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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