Machine Learning for Gaze-Based Selection: Performance Assessment Without Explicit Labeling

Shevtsova, Yulia G.; Vasilyev, Anatoly N.; Shishkin, Sergei L.

doi:10.1007/978-3-031-48038-6_19

Lecture Notes in Computer Science

2023

DOI: 10.1007/978-3-031-48038-6_19

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Machine Learning for Gaze-Based Selection: Performance Assessment Without Explicit Labeling

Yulia G. Shevtsova,

Anatoly N. Vasilyev,

Sergei L. Shishkin

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2024

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Cited by 1 publication

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Intentionally vs. Spontaneously Prolonged Gaze: A MEG Study of Active Gaze-Based Interaction

Vasilyev,

Svirin,

Dubynin

et al. 2024

Preprint

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Eye fixations are increasingly used to control computers through gaze-sensitive interfaces, yet the brain mechanisms underlying this non-visual use of gaze remain poorly understood. In this study, we recorded 306-channel magnetoencephalography (MEG) signals while participants played a video game controlled by their eye movements. Each move required selecting an object by fixating on it for at least 500 ms. Gaze dwells were classified as intentional if followed by a confirmation gaze on a special location and as spontaneous otherwise. In contrast to previous EEG studies on gaze-based interaction, we identified both oscillatory and sustained phase-locked MEG activity differentiating intentional and spontaneous gaze dwells, emerging near dwell onset and persisting until its termination. Thus, despite the apparent ease of controlling eye movements for gaze-based interaction, this process engages distinct neural signatures detectable with MEG, which are only partially similar to those observed in tasks requiring explicit inhibition of prepotent oculomotor responses. These findings highlight that contrasting spontaneous and intentional gaze dwells collected during free-behavior gaze-based interaction can serve as a novel methodology for studying mechanisms of voluntary control. Unlike traditional tasks in voluntary eye movement research, this approach avoids unnatural efforts from participants, offering a more naturalistic context for investigation.

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Intentionally vs. Spontaneously Prolonged Gaze: A MEG Study of Active Gaze-Based Interaction

Vasilyev,

Svirin,

Dubynin

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

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Machine Learning for Gaze-Based Selection: Performance Assessment Without Explicit Labeling

Cited by 1 publication

References 9 publications

Intentionally vs. Spontaneously Prolonged Gaze: A MEG Study of Active Gaze-Based Interaction

Intentionally vs. Spontaneously Prolonged Gaze: A MEG Study of Active Gaze-Based Interaction

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