ArticleJournal of vision2024
Comparing eye-hand coordination between controller-mediated virtual reality, and a real-world object interaction task.
Article in Journal of vision, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07394231 (Exploring Innovative Strategies to Enhance Eye-Hand Coordination and Cognitive Functions Through Drone Catching Exercise.), which is not on this map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Exploring Innovative Strategies to Enhance Eye-Hand Coordination and Cognitive Functions Through Drone Catching Exercise.
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Selective spatial attention to competing speakers in azimuth and depth: Evidence from real and virtual environments.Neuroimage. Reports · 2026Article
- Exploring eye-hand coordination in central field loss with virtual reality.Research square · 2026Article
- Test-Retest Reliability of a Computerized Hand-Eye Coordination Task.Journal of eye movement research · 2025Article
- How a lack of haptic feedback affects eye-hand coordination and embodiment in virtual reality.Scientific reports · 2025Article
- Approaches to understanding natural behavior.Journal of vision · 2025Review
- Visual factors that determine sensory uncertainty in rapid interceptive hand movements.Journal of vision · 2025Article
- Look Hear: Gaze Prediction for Speech-directed Human Attention.Computer vision - ECCV ... : ... European Conference on Computer Vision : proceedings. European Conference on Computer Vision · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Virtual reality (VR) technology has advanced significantly in recent years, with many potential applications. However, it is unclear how well VR simulations mimic real-world experiences, particularly in terms of eye-hand coordination. This study compares eye-hand coordination from a previously validated real-world object interaction task to the same task re-created in controller-mediated VR. We recorded eye and body movements and segmented participants' gaze data using the movement data. In the real-world condition, participants wore a head-mounted eye tracker and motion capture markers and moved a pasta box into and out of a set of shelves. In the VR condition, participants wore a VR headset and moved a virtual box using handheld controllers. Unsurprisingly, VR participants took longer to complete the task. Before picking up or dropping off the box, participants in the real world visually fixated the box about half a second before their hand arrived at the area of action. This 500-ms minimum fixation time before the hand arrived was preserved in VR. Real-world participants disengaged their eyes from the box almost immediately after their hand initiated or terminated the interaction, but VR participants stayed fixated on the box for much longer after it was picked up or dropped off. We speculate that the limited haptic feedback during object interactions in VR forces users to maintain visual fixation on objects longer than in the real world, altering eye-hand coordination. These findings suggest that current VR technology does not replicate real-world experience in terms of eye-hand coordination.
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Registered trials
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.