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Visualization of Complex Situations to Strengthen Human-Automation Collaboration
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (iVis, INV)ORCID iD: 0000-0001-6741-4337
2019 (English)In: ECCE 2019, Proceedings of the 31st European Conference on Cognitive Ergonomics, ‘Design for Cognition' / [ed] Maurice Mulvenna, Raymond Bond, New York, NY, United States: Association for Computing Machinery (ACM), 2019, p. 14-18Conference paper, Published paper (Refereed)
Abstract [en]

Automation in todays world has helped human operators accomplish several tasks in limited time. Therefore, humans role in automated environments are shifting from operational tasks to supervisory tasks. In complex environments such as air traffic control, supervisory tasks become difficult to manage during unforeseen situations as the controller needs to have a clear understanding of different operational levels in the system and make decisions about them in a limited amount of time. For the operators working with highly complex information-rich automated systems, an improper way of presenting the information would waste operators cognitive resources resulting in inefficient decision making and increase in risk of failure. In this research proposal goals and plans are described for doing research on design and visualization of information specifically applied to high stake automated environments. The research project initially addresses the problem in the domain of air traffic control. The contribution of the project to the field so far has been design and development of an interactive tool, which visualizes the information about conflict solution space to facilitate decision making process. The research project is planned to be completed over the course of a four-year PhD studies.

Place, publisher, year, edition, pages
New York, NY, United States: Association for Computing Machinery (ACM), 2019. p. 14-18
Keywords [en]
High-stake environments; complex situations; information design; information visualization; air traffic control; human-automation collaboration
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-171692DOI: 10.1145/3335082.3335120ISI: 000587608600004Scopus ID: 2-s2.0-85073146193ISBN: 9781450371667 (print)OAI: oai:DiVA.org:liu-171692DiVA, id: diva2:1504975
Conference
ECCE 2019: 31st European Conference on Cognitive Ergonomics, BELFAST United Kingdom, September 10 - 13, 2019
Available from: 2020-11-30 Created: 2020-11-30 Last updated: 2024-11-25

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Zohrevandi, Elmira

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Total: 372 hits
CiteExportLink to record
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Cite
Citation style
  • apa
  • 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