ArticleExperimental brain research2018
Eye movements in interception with delayed visual feedback.
Article in Experimental brain research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- The impact of varying cursor latency on visuomotor tracking.Experimental brain research · 2026Article
- Visuomotor adaptation and savings to constant and varying visual feedback delays in a driving simulator.Journal of vision · 2026Article
- Article
- Predictive interception across speed profiles.Frontiers in neural circuits · 2026Article
- Gaze when walking to grasp an object in the presence of obstacles.Journal of vision · 2025Article
- How a target's speed influences the extent to which the time or place at which it is intercepted is adjusted.Experimental brain research · 2025Article
- Visuomotor adaptation to constant and varying delays in a target acquisition task.Journal of vision · 2025Article
- Perception-action coupling during discriminative interceptive actions.Frontiers in psychology · 2025Article
- Continuous use of visual information about the position of the moving hand.Experimental brain research · 2023Article
- Tapping on a target: dealing with uncertainty about its position and motion.Experimental brain research · 2023Article
- The response to background motion: Characteristics of a movement stabilization mechanism.Journal of vision · 2021Article
- Gravity and Known Size Calibrate Visual Information to Time Parabolic Trajectories.Frontiers in human neuroscience · 2021Article
- Article
- Looking away from a moving target does not disrupt the way in which the movement toward the target is guided.Journal of vision · 2020Article
- Adaptation to visual feedback delays on touchscreens with hand vision.Experimental brain research · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The increased reliance on electronic devices such as smartphones in our everyday life exposes us to various delays between our actions and their consequences. Whereas it is known that people can adapt to such delays, the mechanisms underlying such adaptation remain unclear. To better understand these mechanisms, the current study explored the role of eye movements in interception with delayed visual feedback. In two experiments, eye movements were recorded as participants tried to intercept a moving target with their unseen finger while receiving delayed visual feedback about their own movement. In Experiment 1, the target randomly moved in one of two different directions at one of two different velocities. The delay between the participant's finger movement and movement of the cursor that provided feedback about the finger movements was gradually increased. Despite the delay, participants followed the target with their gaze. They were quite successful at hitting the target with the cursor. Thus, they moved their finger to a position that was ahead of where they were looking. Removing the feedback showed that participants had adapted to the delay. In Experiment 2, the target always moved in the same direction and at the same velocity, while the cursor's delay varied across trials. Participants still always directed their gaze at the target. They adjusted their movement to the delay on each trial, often succeeding to intercept the target with the cursor. Since their gaze was always directed at the target, and they could not know the delay until the cursor started moving, participants must have been using peripheral vision of the delayed cursor to guide it to the target. Thus, people deal with delays by directing their gaze at the target and using both experience from previous trials (Experiment 1) and peripheral visual information (Experiment 2) to guide their finger in a way that will make the cursor hit the target.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.