research-article

Exploring the effects of visual cognitive load and illumination on pupil diameter in driving simulators

Authors:

Oskar Palinko,

Andrew L. KunAuthors Info & Claims

ETRA '12: Proceedings of the Symposium on Eye Tracking Research and Applications

Pages 413 - 416

https://doi.org/10.1145/2168556.2168650

Published: 28 March 2012 Publication History

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Abstract

Pupil diameter is an important measure of cognitive load. However, pupil diameter is also influenced by the amount of light reaching the retina. In this study we explore the interaction between these two effects in a simulated driving environment. Our results indicate that it is possible to separate the effects of illumination and visual cognitive load on pupil diameter, at least in certain situations.

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Palinko, O., and Kun. 2011. Exploring the Influence of Light and Cognitive Load on Pupil Diameter in Driving Simulator Studies. Proceedings of Driving Assessment.

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Cited By

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Foltyn ADeuschel JLang-Richter NHolzer NOppelt M(2024)Evaluating the robustness of multimodal task load estimation modelsFrontiers in Computer Science10.3389/fcomp.2024.13711816Online publication date: 10-Apr-2024
https://doi.org/10.3389/fcomp.2024.1371181
Lee Jde Jong NDonkers JJarodzka Hvan Merriënboer J(2024)Measuring Cognitive Load in Virtual Reality Training via PupillometryIEEE Transactions on Learning Technologies10.1109/TLT.2023.332647317(704-710)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TLT.2023.3326473
Li MZhang CXiang W(2024)Feedback or Takeover: The Impact of Risk and Driver State on Intervention Behaviors in Automated Driving2024 16th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)10.1109/IHMSC62065.2024.00051(192-196)Online publication date: 24-Aug-2024
https://doi.org/10.1109/IHMSC62065.2024.00051
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Index Terms

Exploring the effects of visual cognitive load and illumination on pupil diameter in driving simulators
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

ETRA '12: Proceedings of the Symposium on Eye Tracking Research and Applications

March 2012

420 pages

ISBN:9781450312219

DOI:10.1145/2168556

Conference Chairs:
Carlos H. Morimoto
University of São Paulo, Brazil
,
Howell Istance
Montfort University, UK
,
Editor:
Stephen N. Spencer
University of Washington
,
Program Chairs:
Jeffrey B. Mulligan
NASA
,
Pernilla Qvarfordt
FX Palo Alto

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: 28 March 2012

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Funding Sources

U.S. Department of Justice

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ETRA '12

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ETRA '12: Eye Tracking Research and Applications

March 28 - 30, 2012

California, Santa Barbara

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

View all

Foltyn ADeuschel JLang-Richter NHolzer NOppelt M(2024)Evaluating the robustness of multimodal task load estimation modelsFrontiers in Computer Science10.3389/fcomp.2024.13711816Online publication date: 10-Apr-2024
https://doi.org/10.3389/fcomp.2024.1371181
Lee Jde Jong NDonkers JJarodzka Hvan Merriënboer J(2024)Measuring Cognitive Load in Virtual Reality Training via PupillometryIEEE Transactions on Learning Technologies10.1109/TLT.2023.332647317(704-710)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TLT.2023.3326473
Li MZhang CXiang W(2024)Feedback or Takeover: The Impact of Risk and Driver State on Intervention Behaviors in Automated Driving2024 16th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)10.1109/IHMSC62065.2024.00051(192-196)Online publication date: 24-Aug-2024
https://doi.org/10.1109/IHMSC62065.2024.00051
Yu MChen JQian JYuan QFan HShan G(2024)Effects of color temperature and time gradients on visual fatigue recovery in closed cabinAdvanced Design Research10.1016/j.ijadr.2024.07.0022:1(45-54)Online publication date: Jun-2024
https://doi.org/10.1016/j.ijadr.2024.07.002
Nagy VKovács GFöldesi PKurhan DSysyn MSzalai SFischer S(2023)Testing Road Vehicle User Interfaces Concerning the Driver’s Cognitive LoadInfrastructures10.3390/infrastructures80300498:3(49)Online publication date: 9-Mar-2023
https://doi.org/10.3390/infrastructures8030049
Kosch TKarolus JZagermann JReiterer HSchmidt AWoźniak P(2023)A Survey on Measuring Cognitive Workload in Human-Computer InteractionACM Computing Surveys10.1145/358227255:13s(1-39)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3582272
Bacchin DGehrer NKrejtz KDuchowski AGamberini L(2023)Gaze-based Metrics of Cognitive Load in a Conjunctive Visual Memory TaskExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585650(1-8)Online publication date: 19-Apr-2023
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Luo RWeng YJayakumar PBrudnak MPaul VDesaraju VStein JErsal TYang X(2023)Real-Time Workload Estimation Using Eye Tracking: A Bayesian Inference ApproachInternational Journal of Human–Computer Interaction10.1080/10447318.2023.220527440:15(4042-4057)Online publication date: 4-May-2023
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Aygun ANguyen THaga ZAeron SScheutz M(2022)Investigating Methods for Cognitive Workload Estimation for Assistive RobotsSensors10.3390/s2218683422:18(6834)Online publication date: 9-Sep-2022
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Aygun ALyu BNguyen THaga ZAeron SScheutz M(2022)Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving TaskProceedings of the 2022 International Conference on Multimodal Interaction10.1145/3536221.3556610(337-348)Online publication date: 7-Nov-2022
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