research-article

Hard lessons learned: mobile eye-tracking in cockpits

Authors:

Hana Vrzakova,

Roman BednarikAuthors Info & Claims

Gaze-In '12: Proceedings of the 4th Workshop on Eye Gaze in Intelligent Human Machine Interaction

Article No.: 7, Pages 1 - 6

https://doi.org/10.1145/2401836.2401843

Published: 26 October 2012 Publication History

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Abstract

Eye-tracking presents an attractive tool in testing of design alternatives in all stages of interface evaluation. Access to the operator's visual attention behaviors provides information supporting design decisions. While mobile eye-tracking increases ecological validity it also brings about numerous constraints. In this work, we discuss mobile eye-tracking issues in the complex environment of a business jet flight simulator in industrial research settings. The cockpit and low illumination directly limited the setup of the eye-tracker and quality of recordings and evaluations. Here we present lessons learned and the best practices in setting up the eye-tracker under challenging simulation conditions.

References

[1]

R. Bednarik, H. Vrzakova, and M. Hradis. What do you want to do next: a novel approach for intent prediction in gaze-based interaction. In Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA '12, pages 83--90, New York, NY, USA, 2012. ACM.

Digital Library

Google Scholar

[2]

A. Duchowski. Eye Tracking Methodology, Theory and Practice, Second Edition. Springer, 2007. ISBN 978-1-84628-608-7.

Digital Library

Google Scholar

[3]

Ergoneers GmbH. Dikablis reference guide v 2.0, 2012.

Google Scholar

[4]

P. M. Fitts, R. E. Jones, and J. L. Milton. Eye Movements of Aircraft Pilots during Instrument-Landing Approaches. Aeronautical Engineering Review, 9(2):24--29, 1950.

Google Scholar

[5]

F. Hatfield, E. A. Jenkins, M. W. Jennings, and G. Calhoun. Principles and guidelines for the design of eye/voice interaction dialogs. In Procs. of the 3rd Symposium on Human Interaction with Complex Systems (HICS '96), HICS '96, pages 10--, Washington, DC, USA, 1996. IEEE.

Digital Library

Google Scholar

[6]

K. Holmqvist, M. Nyström, R. Andersson, R. Dewhurst, H. Jarodzka, and J. Van de Weijer. Eye tracking: A comprehensive guide to methods and measures. Oxford University Press, London, 2011.

Google Scholar

[7]

M. Hradis, S. Eivazi, and R. Bednarik. Voice activity detection from gaze in video mediated communication. In Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA '12, pages 329--332, New York, NY, USA, 2012. ACM.

Digital Library

Google Scholar

[8]

R. J. K. Jacob and K. S. Karn. Commentary on section 4. eye tracking in human-computer interaction and usability research: Ready to deliver the promises. In The Mind's Eye: Cognitive and Applied Aspects of Eye Movement Research, pages 573--605. Elsevier, 2003.

Crossref

Google Scholar

[9]

J. Kim, S. A. Palmisano, A. Ash, and R. S. Allison. Pilot gaze and glideslope control. ACM Trans. Appl. Percept., 7(3):18:1--18:18, June 2008.

Digital Library

Google Scholar

[10]

M. Matessa and R. Remington. Eye movements in human performance modeling of space shuttle operations. In Proceedings of the Human Factors and Ergonomics Society, pages 1114--1118, 2005.

Crossref

Google Scholar

[11]

R. M. Ratwani, J. M. McCurry, and J. G. Trafton. Single operator, multiple robots: an eye movement based theoretic model of operator situation awareness. In Procs. of the 5th ACM/IEEE international conference on Human-robot interaction, HRI '10, pages 235--242, Piscataway, NJ, USA, 2010. IEEE.

Digital Library

Google Scholar

[12]

Tobii. Tobii glasses eye tracker, 2012.

Google Scholar

[13]

N. Weibel, A. Fouse, C. Emmenegger, S. Kimmich, and E. Hutchins. Let's look at the cockpit: exploring mobile eye-tracking for observational research on the flight deck. In Procs. of the Symposium on Eye Tracking Research and Applications, ETRA '12, pages 107--114, New York, NY, USA, 2012. ACM.

Digital Library

Google Scholar

[14]

M. Weiser. Some computer science issues in ubiquitous computing. Commun. ACM, 36(7):75--84, July 1993.

Digital Library

Google Scholar

Cited By

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Paris FCasanova RBergeonneau MMestre D(2024)Differences between Experts and Novices in the Use of Aircraft Maintenance Documentation: Evidence from Eye TrackingApplied Sciences10.3390/app1403125114:3(1251)Online publication date: 2-Feb-2024
https://doi.org/10.3390/app14031251
Salari MBednarik R(2024)Investigating the Impact of Illumination Change on the Accuracy of Head-Mounted Eye Trackers: A Protocol and Initial ResultsCompanion Proceedings of the 26th International Conference on Multimodal Interaction10.1145/3686215.3688383(204-210)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3686215.3688383
Hebbar PBhattacharya KPrabhakar GPashilkar ABiswas P(2021)Correlation Between Physiological and Performance-Based Metrics to Estimate Pilots' Cognitive WorkloadFrontiers in Psychology10.3389/fpsyg.2021.55544612Online publication date: 20-Apr-2021
https://doi.org/10.3389/fpsyg.2021.555446
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Published In

Gaze-In '12: Proceedings of the 4th Workshop on Eye Gaze in Intelligent Human Machine Interaction

October 2012

88 pages

ISBN:9781450315166

DOI:10.1145/2401836

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2012

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ICMI '12

Sponsor:

SIGCHI

ICMI '12: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

October 26, 2012

California, Santa Monica

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Overall Acceptance Rate 19 of 21 submissions, 90%

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Cited By

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Paris FCasanova RBergeonneau MMestre D(2024)Differences between Experts and Novices in the Use of Aircraft Maintenance Documentation: Evidence from Eye TrackingApplied Sciences10.3390/app1403125114:3(1251)Online publication date: 2-Feb-2024
https://doi.org/10.3390/app14031251
Salari MBednarik R(2024)Investigating the Impact of Illumination Change on the Accuracy of Head-Mounted Eye Trackers: A Protocol and Initial ResultsCompanion Proceedings of the 26th International Conference on Multimodal Interaction10.1145/3686215.3688383(204-210)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3686215.3688383
Hebbar PBhattacharya KPrabhakar GPashilkar ABiswas P(2021)Correlation Between Physiological and Performance-Based Metrics to Estimate Pilots' Cognitive WorkloadFrontiers in Psychology10.3389/fpsyg.2021.55544612Online publication date: 20-Apr-2021
https://doi.org/10.3389/fpsyg.2021.555446
Gladkih ABolshedvorskaya LVolkov AVolkov A(2019)The development of advanced network simulators for air transport by using fuzzy models and noise-resistant codingCivil Aviation High Technologies10.26467/2079-0619-2019-22-6-29-4322:6(29-43)Online publication date: 26-Dec-2019
https://doi.org/10.26467/2079-0619-2019-22-6-29-43
Volkov AIonov V(2018)THE IMPROVEMENT OF PROFESSIONAL TRAINING ORGANIZATION OF THE X-RAY SCREENING SYSTEMS OPERATORS BY USING THE EYE MOVEMENTS REGISTRATION SYSTEM AND METHODS OF CLUSTER AND DISCRIMINANT ANALYSISCivil Aviation High TECHNOLOGIES10.26467/2079-0619-2018-21-3-45-3621:3(45-36)Online publication date: 3-Jul-2018
https://doi.org/10.26467/2079-0619-2018-21-3-45-36
Bednarik RBartczak PVrzakova HKoskinen JElomaa AHuotarinen Ade Gómez Pérez Dvon und zu Fraunberg MSharif BKrejtz K(2018)Pupil size as an indicator of visual-motor workload and expertise in microsurgical training tasksProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204577(1-5)Online publication date: 14-Jun-2018
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Vrzakova HBednarik RNakano YNihei FQvarfordt PHansen D(2016)Speakers' head and gaze dynamics weakly correlate in group conversationProceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications10.1145/2857491.2857522(77-84)Online publication date: 14-Mar-2016
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Narcizo FHansen D(2015)Depth Compensation Model for Gaze Estimation in Sport AnalysisProceedings of the 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)10.1109/ICCVW.2015.107(788-795)Online publication date: 7-Dec-2015
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