Abstract

Motivation/Research approach - An exploratory study was conducted to investigate whether eye movement metrics discriminate between different air traffic control tasks. Findings/Design - The results show the three tasks elicit different eye movement, as Yarbus (1967) also showed in static pictures, and that a number of eye tracking metrics demonstrate the differences. Research limitations/Implications - The effect was demonstrated using only one participant. The results can be used to further study various eye movement metrics. Originality/Value - The research demonstrates that different calculus distinguishes between tasks allowing targeting specific support given the type of task. Take away message - A combination of eye tracker metrics discriminates between tasks helping to provide flexible task support. © 2011 Authors.


Original document

The different versions of the original document can be found in:

https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A0e0a0e6b-dd51-40bc-add0-158e62cfe4dd,
https://core.ac.uk/display/85539918,
https://www.researchgate.net/profile/Tjerk_De_Greef/publication/220956379_Using_eye_tracker_data_in_air_traffic_control/links/0912f510a85c3cecfb000000.pdf,
https://dblp.uni-trier.de/db/conf/ecce/ecce2011.html#ImantsG11,
https://academic.microsoft.com/#/detail/2119557644
http://dx.doi.org/10.1145/2074712.2074769
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Published on 01/01/2011

Volume 2011, 2011
DOI: 10.1145/2074712.2074769
Licence: CC BY-NC-SA license

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