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Luke Rosedahl, Ph.D., and Isabella Cabaleiro, research lab specialist, participate in a virtual reality experiment examining how movement affects learning. Credit: Florida Atlantic University

Moving the Whole Arm Helped Volunteers Learn Some Patterns Faster

In A Nutshell

  • Whole-arm movements helped volunteers learn tricky patterns faster than button pressing.
  • Swinging a virtual lightsaber and punching a virtual box both worked.
  • Patterns with a simple rule showed almost no benefit.
  • Whether it helps real-world training remains untested.

Some skills cannot be taught with a rulebook. A doctor’s gut sense that a spot on a scan looks aggressive rather than noncancerous comes from seeing many cases, not from memorizing a checklist. A new lab study found that practicing with whole-arm movements, rather than pressing a button, helped volunteers learn a similar kind of pattern spotting faster. Some swung a virtual lightsaber, and others threw punches at a virtual box.

Published in Science Advances, the study found the boost only for patterns that require blending several clues into one judgment call. For patterns that follow a simple, explainable rule, such as sorting by color or shape, whole-arm movements made almost no difference.

Researchers at Brown University and Florida Atlantic University built a virtual reality setup to test whether moving the body changes how well people learn. Their results push back on decades of psychological theory that treated movement as a final step, something that happens after the brain has already made its decision and plays no role in learning.

Arm Swings Improved Category Learning for No-Rule Patterns

Category learning is everywhere in daily life. Deciding whether a road is icy or just wet, or whether fruit is ripe enough to pick, involves sorting things into mental buckets.

In the first experiment, 80 volunteers wore headsets and learned to sort gray striped discs, which varied in line thickness and angle, into two groups. Participants were recruited near Brown University, averaged about 21 years old, and were 57.5 percent female. Half learned a sorting task with a simple rule that could be put into words. The other half faced a no-rule task, which required weighing both features together without being able to state an exact rule. Within each group, volunteers either pulled a controller trigger or swung a virtual lightsaber to hit the disc. Everyone completed 600 practice rounds with feedback.

A second experiment with another 80 volunteers, again averaging about 21 and 65 percent female, ruled out rival explanations. Swinging might have helped because the lightsaber touched the pattern, or because movement slowed people down and slower answers tend to be more accurate. So the lightsaber became a punch at a box that never touched the pattern, and each disc stayed on screen for the same amount of time no matter how fast anyone answered. After training, volunteers switched to the opposite response method for 100 final trials, with punchers pressing buttons and button pressers throwing punches.

virtual reality
Isabella Cabaleiro, research lab specialist, participates in a virtual reality experiment examining how movement affects learning with Luke Rosedahl, Ph.D. Credit: Florida Atlantic University

Punching Boosted Learning Without Touching the Pattern

Swinging a lightsaber clearly improved learning of the no-rule patterns, and punching reproduced the result. Even without touching the pattern, punchers learned the no-rule patterns faster and finished higher. In the final 100 training trials, they averaged about 91 percent correct, compared with roughly 81 percent for button pressers.

Taking longer to answer did not explain the edge, either. Slower responses actually went with worse accuracy. Making the simple-rule task harder in the second experiment still produced no movement benefit, which ruled out the possibility that the easy task had left no room to improve.

Most telling was the switch test. Among volunteers learning the no-rule patterns, those trained by punching slipped only from about 91 percent to nearly 90 percent after moving to buttons, and still outscored button-trained volunteers who moved to punching, who reached about 83 percent. If moving helped only by jogging memory at the moment of answering, losing the movement should have erased the edge. Instead, the benefit appeared to be built during training.

Luke Rosedahl, Ph.D., and Isabella Cabaleiro, research lab specialist, participate in a virtual reality experiment examining how movement affects learning. Participants learned to categorize visual patterns by either swinging a virtual lightsaber at a target or pressing a button. Credit: Florida Atlantic University

Category Learning Research May Have Underestimated Movement

Why the boost showed up only for no-rule patterns remains unsettled. Learning without a rule is thought to lean on brain circuits tied to motor control, while learning a rule leans on front-of-brain circuits used for testing ideas and holding information in mind. The authors propose that bigger movements may strengthen activity in the motor-linked circuits, or may sharpen attention toward the features that matter. The study did not measure brain activity, so both ideas remain untested.

That pattern could also help explain a long-running puzzle. In earlier lab studies, no-rule patterns tended to be learned more slowly than rule-based ones, and those studies used button presses. Based on these results, button presses may have been holding back the very learning systems researchers were trying to study, though the authors consider it unlikely that movement explains every difference found before.

Radiology and aviation are among the fields the authors point to as places to test next, where expert judgment often takes long stretches of repetitive practice. If bigger, more deliberate movement early in practice speeds up how quickly people develop that instinct, it could change how virtual reality training is designed, since many programs default to button presses. Whether the same benefit carries over to real-world training remains to be tested.

None of this means movement helps every kind of learning, and the evidence comes from abstract striped patterns, not real scans. But it does raise doubts about the old assumption that movement is an afterthought to learning. How someone moves while figuring something out may be doing more work than psychology ever gave it credit for.


Disclaimer: This article is for informational purposes only and is not medical advice. Consult a qualified professional about health decisions.


Paper Notes

Limitations

Each of the four conditions in each experiment had only 20 participants, a small group for any single comparison. Volunteers were recruited from the area around Brown University and averaged about 21 years old, so the results may not apply to other age groups. The categories were abstract striped discs standing in for real-world skills like medical pattern recognition, and the study did not test actual medical images or other real-world materials. Handedness, meaning left or right, was not recorded or balanced across groups, which the authors flag as a limitation. Participants were not tested on other category types, such as those built around exceptions to a rule, which may respond to movement differently. The block-by-block comparisons shown in the figures were descriptive and were not adjusted for running many comparisons at once, so the main conclusions rest on separate statistical modeling. Three participants could not start the final switching test because of timing constraints, though their training data were included in the main analysis. In the second experiment, two participants in the no-rule punching group had missed trials, which were scored as chance performance.

Funding and Disclosures

The study was funded by National Institutes of Health grants K99EY034891, R00EY034891, R01EY019466, R01EY027841, and R01EY031705, and by National Science Foundation grant BCS2241417. The authors declare no competing interests. They also thank Claude, an AI language model made by Anthropic, for help with editing and improving readability, while stating that all opinions and ideas in the paper are their own.

Publication Details

The study, titled “Learning by moving: Physical motion accelerates category learning,” was written by Luke Rosedahl, Yuka Sasaki, and Takeo Watanabe. Rosedahl is affiliated with the Department of Biomedical Engineering and I-SENSE at Florida Atlantic University and with Cognitive and Psychological Sciences at Brown University, where Sasaki and Watanabe are also affiliated. Rosedahl is the corresponding author. The paper was submitted October 27, 2025, accepted September 22, 2026, and published October 23, 2026, in Science Advances (published by the American Association for the Advancement of Science), volume 12, issue 43, article eaed4003. DOI: 10.1126/sciadv.aed4003.

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