
Research Article
Modelling attention levels using microsaccade rates in response to vibrations in the peripheral field of vision
@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
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.
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.


