ArticleScientific reports2020
Motor learning in real-world pool billiards.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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Who cites it
27 citing papers in PubMed, 72 citations in OpenAlex.
- Isolating error-based and reward-based learning in a real-world task via gradual perturbations in embodied VR.iScience · 2026Article
- Bridging the divide in motor learning research.Nature human behaviour · 2026Review
- Task demands shift motor learning from adaptation to feedback control in a naturalistic bimanual task.bioRxiv : the preprint server for biology · 2026Article
- Motor learning mechanisms are not modified by feedback manipulations in a real-world task.NPJ science of learning · 2025Article
- Exploring Difference in Hand-Foot Coordination Ability Among Tennis Players of Different Sport Levels Based on the Correlation Between Lower-Limb Acceleration and Hand Grip Force.Sensors (Basel, Switzerland) · 2025Article
- Time-warping analysis for biological signals: methodology and application.Scientific reports · 2025Article
- The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events.Scientific reports · 2024Article
- Exploring motor skill acquisition in bimanual coordination: insights from navigating a novel maze task.Scientific reports · 2024Article
- Surgeon Upper Extremity Kinematics During Error and Error-Free Retropubic Trocar Passage.International urogynecology journal · 2024Article
- Comparative analysis of motor skill acquisition in a novel bimanual task: the role of mental representation and sensorimotor feedback.Frontiers in human neuroscience · 2024Article
- Measuring motion-to-photon latency for sensorimotor experiments with virtual reality systems.Behavior research methods · 2023Article
- Investigating and acquiring motor expertise using virtual reality.Journal of neurophysiology · 2023Review
- Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects.Neural computation · 2023Article
- Narrowing the coordination solution space during motor learning standardizes individual patterns of search strategy but diversifies learning rates.Scientific reports · 2023Article
- Article
- Motor control beyond reach-how humans hit a target with a whip.Royal Society open science · 2022Article
- Ten guidelines for designing motor learning studies.Brazilian journal of motor behavior · 2022Article
- Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.Sensors (Basel, Switzerland) · 2022Review
- The effect of enhanced variability after performance stabilization through constant practice.PeerJ · 2022Article
- Playing the piano with a robotic third thumb: assessing constraints of human augmentation.Scientific reports · 2021Article
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 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The neurobehavioral mechanisms of human motor-control and learning evolved in free behaving, real-life settings, yet this is studied mostly in reductionistic lab-based experiments. Here we take a step towards a more real-world motor neuroscience using wearables for naturalistic full-body motion-tracking and the sports of pool billiards to frame a real-world skill learning experiment. First, we asked if well-known features of motor learning in lab-based experiments generalize to a real-world task. We found similarities in many features such as multiple learning rates, and the relationship between task-related variability and motor learning. Our data-driven approach reveals the structure and complexity of movement, variability, and motor learning, enabling an in-depth understanding of the structure of motor learning in three ways: First, while expecting most of the movement learning is done by the cue-wielding arm, we find that motor learning affects the whole body, changing motor-control from head to toe. Second, during learning, all subjects decreased their movement variability and their variability in the outcome. Subjects who were initially more variable were also more variable after learning. Lastly, when screening the link across subjects between initial variability in individual joints and learning, we found that only the initial variability in the right forearm supination shows a significant correlation to the subjects' learning rates. This is in-line with the relationship between learning and variability: while learning leads to an overall reduction in movement variability, only initial variability in specific task-relevant dimensions can facilitate faster learning.
Identifiers
What OpenQuestion holds
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.