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International Conference on Human-Computer Interaction

HCII 2022: Engineering Psychology and Cognitive Ergonomics pp 408–419Cite as

Experimental Assessment of Fixation-Based Attention Measurement in an Aircraft Cockpit

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13307))

Abstract

Goal of this study was to improve eye-tracking-based attention measurement by fixation-based classification in an aircraft cockpit simulator. Most eye-tracking studies measure attention with averaging metrics which is not suitable for application in adaptive systems. Alternatively, attention classification based on fixation on AoI is a reasonable method but sometimes fails to correctly classify visual attention in modern HMIs. To find the cause of these problems, we conducted an aircraft simulator experiment with 10 pilots and collected baseline data for visual attention on different cockpit instruments. With this data, we evaluated fixation durations, fixation vicinity and the relationship between interaction and fixation position. The results showed that, graphical or moving display elements can be perceived with shorter fixations and near-peripheral perception compared to displays of text and numbers. Also, control input is often aligned with visual attention to associated information. With these results, visual attention measurement can be improved by adapting minimum fixation durations and areas of interest to the displayed content and using interaction as a proxy for attention.

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Authors and Affiliations

  1. Insititute of Flight Systems, Universität der Bundeswehr, 85577, Munich, Germany

    Simon Schwerd & Axel Schulte

Authors
  1. Simon Schwerd
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  2. Axel Schulte
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Correspondence to Simon Schwerd .

Editor information

Editors and Affiliations

  1. Coventry University, Coventry, UK

    Don Harris

  2. Cranfield University, Cranfield, UK

    Wen-Chin Li

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Schwerd, S., Schulte, A. (2022). Experimental Assessment of Fixation-Based Attention Measurement in an Aircraft Cockpit. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2022. Lecture Notes in Computer Science(), vol 13307. Springer, Cham. https://doi.org/10.1007/978-3-031-06086-1_32

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  • DOI: https://doi.org/10.1007/978-3-031-06086-1_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06085-4

  • Online ISBN: 978-3-031-06086-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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