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Research Article

Modelling attention levels using microsaccade rates in response to vibrations in the peripheral field of vision

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  • @ARTICLE{10.4108/eetismla.8598,
        author={Minoru Nakayama and Takahiro Ueno},
        title={Modelling attention levels using microsaccade rates in response to vibrations in the peripheral field of vision},
        journal={EAI Endorsed Transactions on Intelligent Systems and Machine Learning},
        volume={1},
        number={1},
        publisher={EAI},
        journal_a={ISMLA},
        year={2025},
        month={3},
        keywords={Peripheral vision field, Microsaccade, Visual attention, Latent resource, Bayesian model},
        doi={10.4108/eetismla.8598}
    }
    
  • Minoru Nakayama
    Takahiro Ueno
    Year: 2025
    Modelling attention levels using microsaccade rates in response to vibrations in the peripheral field of vision
    ISMLA
    EAI
    DOI: 10.4108/eetismla.8598
Minoru Nakayama1,*, Takahiro Ueno1
  • 1: Institute of Science Tokyo
*Contact email: nakayama@ict.e.titech.ac.jp

Abstract

Viewer’s eye movements and behavioural responses were analysed in order to determine the relationship between selective perception and visual attention during a dual detection task in the central and peripheral fields of vision, in order to design better functioning information displays. Changes in visual attention levels were evaluated using temporal microsaccade rates. Response accuracy of stimulus detection and the microsaccade rate were analysed using a hierarchical Bayesian modelling technique. In the results, the dominance of the response in the peripheral field of vision is confirmed to be deviations in the estimated parameters. Also, chronological changes in levels of attention and the contribution of these changes to behavioural responses were examined. The relationship between behavioural responses, microsaccade rate, and the directional dominance of certain viewing areas in the peripheral field of vision were discussed, in order to evaluate the level of visual attention of viewers.

Keywords
Peripheral vision field, Microsaccade, Visual attention, Latent resource, Bayesian model
Received
2025-02-03
Accepted
2025-02-28
Published
2025-03-18
Publisher
EAI
http://dx.doi.org/10.4108/eetismla.8598

Copyright © 2025 M. Nakayama et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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