research-article

Eye Metrics for Task-Dependent Automation

Authors:

Tjerk de GreefAuthors Info & Claims

ECCE '14: Proceedings of the 2014 European Conference on Cognitive Ergonomics

Article No.: 23, Pages 1 - 4

https://doi.org/10.1145/2637248.2637274

Published: 01 September 2014 Publication History

Abstract

Future air traffic is expected to grow increasingly, opening up a gap for task dependent automation and adaptive interfaces, helping the Air Traffic Controller to cope with fluctuating workloads. One of the challenging factors in the application of such intelligent systems concerns the question what the operator is doing in order to optimize support and minimize automation surprises. This study questions whether eye metrics are able to determine what task the operator is engages in. We therefore examined A) if the eye-path would differ for three different ATC tasks and B) whether this effect can be quantified with six eye-metrics. In an experiment, the six eye-metrics were calculated and used as a dependent variable. The results show that some tasks can be inferred by eye movement metrics and other metrics infer workload, although none inferred by both task and workload.

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Cited By

Hu YShen HPan HWei W(2024)Fatigue Detection of Air Traffic Controllers Through Their Eye MovementsAerospace10.3390/aerospace1112098111:12(981)Online publication date: 27-Nov-2024
https://doi.org/10.3390/aerospace11120981
El Iskandarani MAtweh JRiggs S(2024)Time Pressure Detection in a Visual Search Task Using Eye Tracking Metrics: A Virtual Reality StudyProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/1071181324126128868:1(1240-1245)Online publication date: 28-Aug-2024
https://doi.org/10.1177/10711813241261288
Iskandarani MRiggs S(2023)The Effect of Time Pressure on Visual Search Eye Tracking Metrics in Virtual RealityProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/2169506723119242967:1(1525-1528)Online publication date: 25-Nov-2023
https://doi.org/10.1177/21695067231192429
Show More Cited By

Index Terms

Eye Metrics for Task-Dependent Automation
1. Information systems
  1. Information systems applications
2. Social and professional topics
  1. Professional topics
    1. Computing and business

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cover image ACM Other conferences

ECCE '14: Proceedings of the 2014 European Conference on Cognitive Ergonomics

September 2014

191 pages

ISBN:9781450328746

DOI:10.1145/2637248

General Chair:
Christian Stary
Johannes Kepler University Linz, Austria

Copyright © 2014 ACM.

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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EACE: European Association of Cognitive Ergonomics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2014

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ECCE '14

ECCE '14: European Conference on Cognitive Ergonomics

September 1 - 3, 2014

Vienna, Austria

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Overall Acceptance Rate 56 of 91 submissions, 62%

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Cited By

Hu YShen HPan HWei W(2024)Fatigue Detection of Air Traffic Controllers Through Their Eye MovementsAerospace10.3390/aerospace1112098111:12(981)Online publication date: 27-Nov-2024
https://doi.org/10.3390/aerospace11120981
El Iskandarani MAtweh JRiggs S(2024)Time Pressure Detection in a Visual Search Task Using Eye Tracking Metrics: A Virtual Reality StudyProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/1071181324126128868:1(1240-1245)Online publication date: 28-Aug-2024
https://doi.org/10.1177/10711813241261288
Iskandarani MRiggs S(2023)The Effect of Time Pressure on Visual Search Eye Tracking Metrics in Virtual RealityProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/2169506723119242967:1(1525-1528)Online publication date: 25-Nov-2023
https://doi.org/10.1177/21695067231192429
Yang JLayadi IWachs JYu D(2023)Adaptive Human-Robotic Interaction for Robotic-assisted Surgical SettingsMilitary Medicine10.1093/milmed/usad210188:Supplement_6(480-487)Online publication date: 8-Nov-2023
https://doi.org/10.1093/milmed/usad210
Pillai PBalasingam BKim YLee CBiondi F(2022)Eye-Gaze Metrics for Cognitive Load Detection on a Driving SimulatorIEEE/ASME Transactions on Mechatronics10.1109/TMECH.2022.317577427:4(2134-2141)Online publication date: Aug-2022
https://doi.org/10.1109/TMECH.2022.3175774
Wang YHu RLin SSchultz MDelahaye D(2021)The Impact of Automation on Air Traffic Controller’s BehaviorsAerospace10.3390/aerospace80902608:9(260)Online publication date: 13-Sep-2021
https://doi.org/10.3390/aerospace8090260
Wee HLye SPinheiro JPesquet Popescu B(2021)Radar Command Group Time Entropy Signature as a Visual Monitoring Enhancement for Air Traffic ControllersIEEE Transactions on Human-Machine Systems10.1109/THMS.2021.307604451:4(384-393)Online publication date: Aug-2021
https://doi.org/10.1109/THMS.2021.3076044
Wee HLye SPinheiro J(2019)Monitoring Performance Measures for Radar Air Traffic Controllers Using Eye Tracking TechniquesAdvances in Human Factors of Transportation10.1007/978-3-030-20503-4_65(727-738)Online publication date: 6-Jun-2019
https://doi.org/10.1007/978-3-030-20503-4_65

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