Latent Attention Resource estimation of peripheral visual stimuli using Microsaccade Frequency modelling

被引:0
作者
Nakayama, Minoru [1 ]
Ueno, Takahiro [1 ]
机构
[1] Tokyo Inst Technol, Informat & Commun Engn, Meguro Ku, Tokyo, Japan
来源
2023 27TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION, IV | 2023年
基金
日本学术振兴会;
关键词
Peripheral vision field; Microsaccade; Visual attention; Latent resource; Bayesian model;
D O I
10.1109/IV60283.2023.00033
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Temporal visual attention levels and directional bias are evaluated using behavioural responses and microsaccade (MS) frequency measurements taken during a dual task. The behavioural responses were analysed, and the directional bias in the peripheral field of vision extracted using a modelling technique. The observed MS frequency recorded every 0.5 seconds was applied to a state-space modelling technique to extract visual attention levels. The optimised modelling results contribute to the accuracy of the responses and to the estimated levels of attention resources. Also, the positional bias of the resource levels in the peripheral field of vision changes in response to the clusters of the behavioural responses.
引用
收藏
页码:142 / 147
页数:6
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