Article

Eye movements and pupil dilation during event perception

Authors:

Tim J. Smith,

Martyn Whitwell,

John LeeAuthors Info & Claims

ETRA '06: Proceedings of the 2006 symposium on Eye tracking research & applications

Page 48

https://doi.org/10.1145/1117309.1117333

Published: 27 March 2006 Publication History

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Abstract

Human observers segment ongoing activities into events that are reliable across observers [Newtson and Engquist 1976]. Segments can be small ("fine") or large ("coarse") with clusters of fine-grained segments relating hierarchically to coarse segments. Segmentation behaviour occurs even without instruction indicated by neural activity in the Medial Temporal complex (MT+)and Frontal Eye Field (FEF). Similar activation is observed during active segmentation [Zacks et al. 2001]. These two brain regions are known to be active during the processing of visual motion (MT+) and guiding saccadic eye movements (FEF). This, along with behavioural evidence [Zacks 2004], indicates that visual motion may play an important role in identifying events.

References

[1]

Hess, E. H., and Polt, J. M. 1964. Pupil size in relation to mental activity during simple problem-solving. Science 143, 1190--1192.

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[2]

Newtson, D., and Engquist, G. 1976. The perceptual organization of ongoing behaviour. Journal of Experimental Social Psychology 12, 436--450.

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[3]

Zacks, J. M., Braver, T. S., Sheridan, M. A., Donaldson, D. I., Snyder, A. Z., Ollinger, J. M., Buckner, R. L., and Raichle, M. E. 2001. Human brain activity time-locked to perceptual event boundaries. Nature Neuroscience 4, 651--655.

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Zacks, J. M. 2004. Using movement and intention to understand simple events. Cognitive Science 28, 979--1008.

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Cited By

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Destyanto TLin R(2022)Evaluating the Effectiveness of Complexity Features of Eye Movement on Computer Activities DetectionHealthcare10.3390/healthcare1006101610:6(1016)Online publication date: 31-May-2022
https://doi.org/10.3390/healthcare10061016
Swenberg TCarlgren S(2021)On-Beat/Off-BeatProjections10.3167/proj.2021.15010315:1(28-54)Online publication date: 1-Mar-2021
https://doi.org/10.3167/proj.2021.150103
Destyanto TLin R(2020)Detecting computer activities using eye-movement featuresJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02683-814:11(14441-14451)Online publication date: 22-Nov-2020
https://doi.org/10.1007/s12652-020-02683-8
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Index Terms

Eye movements and pupil dilation during event perception
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation
        Video segmentation
      2. Computer vision tasks
        Scene understanding
  2. Machine learning

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Information

Published In

ETRA '06: Proceedings of the 2006 symposium on Eye tracking research & applications

March 2006

175 pages

ISBN:1595933050

DOI:10.1145/1117309

Conference Chairs:
Kari-Jouko Räihä
University of Tampere
,
Andrew T. Duchowski
Clemson University

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: 27 March 2006

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ETRA06

Sponsor:

ETRA06: Eye Tracking Research and Applications

March 27 - 29, 2006

California, San Diego

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Destyanto TLin R(2022)Evaluating the Effectiveness of Complexity Features of Eye Movement on Computer Activities DetectionHealthcare10.3390/healthcare1006101610:6(1016)Online publication date: 31-May-2022
https://doi.org/10.3390/healthcare10061016
Swenberg TCarlgren S(2021)On-Beat/Off-BeatProjections10.3167/proj.2021.15010315:1(28-54)Online publication date: 1-Mar-2021
https://doi.org/10.3167/proj.2021.150103
Destyanto TLin R(2020)Detecting computer activities using eye-movement featuresJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02683-814:11(14441-14451)Online publication date: 22-Nov-2020
https://doi.org/10.1007/s12652-020-02683-8
Brighter GRader N(2019)Establishing Shot Type Affects Arousal and Cognitive Load During Transitions Between Novel Interior Locations in FilmsFrontiers in Human Neuroscience10.3389/fnhum.2019.0000313Online publication date: 28-Jan-2019
https://doi.org/10.3389/fnhum.2019.00003
Loschky LLarson ASmith TMagliano J(2019)The Scene Perception & Event Comprehension Theory (SPECT) Applied to Visual NarrativesTopics in Cognitive Science10.1111/tops.1245512:1(311-351)Online publication date: 4-Sep-2019
https://doi.org/10.1111/tops.12455
Chowdhury AHasan TRahman M(2017)Visual content search using subconscious retinal response2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)10.1109/R10-HTC.2017.8288924(134-137)Online publication date: Dec-2017
https://doi.org/10.1109/R10-HTC.2017.8288924
Sawada TToyoura MMao X(2013)Film Comic Generation with Eye TrackingAdvances in Multimedia Modeling10.1007/978-3-642-35725-1_43(467-478)Online publication date: 2013
https://doi.org/10.1007/978-3-642-35725-1_43
Shye APan YScholbrock BMiller JMemik GDinda PDick R(2008)Power to the peopleProceedings of the 41st annual IEEE/ACM International Symposium on Microarchitecture10.5555/1521747.1521795(188-199)Online publication date: 8-Nov-2008
https://dl.acm.org/doi/10.5555/1521747.1521795
Shye APan YScholbrock BMiller JMemik GDinda PDick R(2008)Power to the people: Leveraging human physiological traits to control microprocessor frequency2008 41st IEEE/ACM International Symposium on Microarchitecture10.1109/MICRO.2008.4771790(188-199)Online publication date: Nov-2008
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