Sensorimotor confidence for tracking eye movements

For successful interactions with the world, we often have to evaluate our own performance. Although eye movements are one of the most frequent actions we perform, we are typically unaware of them. Here, we investigated whether there is any evidence for metacognitive sensitivity for the accuracy of eye movements. Participants tracked a dot cloud as it followed an unpredictable sinusoidal trajectory and then reported if they thought their performance was better or worse than their average tracking performance. Our results show above-chance identification of better tracking behavior across all trials and also for repeated attempts of the same target trajectories. Sensitivity in discriminating performance between better and worse trials was stable across sessions, but judgements within a trial relied more on performance in the final seconds. This behavior matched previous reports when judging the quality of hand movements, although overall metacognitive sensitivity for eye movements was significantly lower.

Authors

Institutions

Publication Details

Journal
Journal of Vision
Published
2024-08-23
DOI
https://doi.org/10.1167/jov.24.8.12
Citations
4
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
1.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sensorimotor confidence for tracking eye movements

Pascal Mamassian, Shannon M. Locke, Karl R. Gegenfurtner, Alexander Goettker
4 citations
Journal of Vision
Visual perception and processing mechanisms
1.37
article

Sensorimotor confidence for tracking eye movements

Pascal Mamassian, Shannon M. Locke, Karl R. Gegenfurtner, Alexander Goettker
article en
4 citations

Abstract

For successful interactions with the world, we often have to evaluate our own performance. Although eye movements are one of the most frequent actions we perform, we are typically unaware of them. Here, we investigated whether there is any evidence for metacognitive sensitivity for the accuracy of eye movements. Participants tracked a dot cloud as it followed an unpredictable sinusoidal trajectory and then reported if they thought their performance was better or worse than their average tracking performance. Our results show above-chance identification of better tracking behavior across all trials and also for repeated attempts of the same target trajectories. Sensitivity in discriminating performance between better and worse trials was stable across sessions, but judgements within a trial relied more on performance in the final seconds. This behavior matched previous reports when judging the quality of hand movements, although overall metacognitive sensitivity for eye movements was significantly lower.

Journal of VisionVol. 24(8)
Justus-Liebig-Universität Gießen (DE), Université Paris Sciences et Lettres (FR), École Normale Supérieure - PSL (FR), Shannon Applied Biotechnology Centre (IE), Laboratoire des Systèmes Perceptifs (FR)
Alexander von Humboldt-Stiftung, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 20%
Visual perception and processing mechanisms
1.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Sensorimotor confidence for tracking eye movements — Pascal Mamassian, Shannon M. Locke, et al. · Journal of Vision (2024) | TGRS Research Map | TGRS