Classification of Safety-Relevant Activities by Using Visual Scan Pattern in Airport Control OperationsShow others and affiliations
2019 (English)In: ENGINEERING PSYCHOLOGY AND COGNITIVE ERGONOMICS, EPCE 2019, SPRINGER INTERNATIONAL PUBLISHING AG , 2019, Vol. 11571, p. 381-395Conference paper, Published paper (Refereed)
Abstract [en]
Digital remote tower technologies rely on a video presentation for providing safety-relevant information to the tower controller. The quality of the video presentation might affect visual capabilities of the tower controller to perceive all information needed for decision making when changing from conventional to remote tower control. For investigating possible implications on safety-critical activities, we created a first baseline from a conventional tower using a verbal coding method and eye tracking data for classifying periods of visual activities by the related control task. This allows us to identify characteristics in the visual scan patterns using the out-the-window view. The presented proof-of-concept study comprises 12 approach situation samples and three tower controllers in a field study. We found group-specific and individual-specific visual scan patterns that are characteristic activities for undertaking certain control tasks. During visual search for establishing visual contact, all controllers exhibit visual scan patterns forming a triangle consisting of runway, airspace and radar. Individual characteristics were found in the timing and frequency of fixating the areas of the triangle. Also, the times fixating instruments and the out-the-window view are found to be individual characteristic. The findings provide insights into characteristics of the tower controllers that are appropriate for a later comparison with a subsequent analysis of the digital remote tower.
Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2019. Vol. 11571, p. 381-395
Series
Lecture Notes in Artificial Intelligence, ISSN 2945-9133
Keywords [en]
Remote tower control; Safety; Visual scan patterns; Eye tracking; Decision-making
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-209793DOI: 10.1007/978-3-030-22507-0_30ISI: 001286443100030ISBN: 9783030225063 (print)ISBN: 9783030225070 (electronic)OAI: oai:DiVA.org:liu-209793DiVA, id: diva2:1913496
Conference
16th International Conference on Engineering Psychology and Cognitive Ergonomics (EPCE) Held as Part of the 21st International Conference on Human-Computer Interaction (HCII), Orlando, FL, jul 26-31, 2019
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