Movement Helps People Learn Complex Patterns More Effectively, Study Finds

TL;DR

Before you orderOffer from Amazon

Get health and wellness essentials delivered free with Prime

• Fast, free delivery on millions of items
• Prime Video, Amazon Music and more included
• Member-only deals all year

Start your free Prime trial →Free trial for eligible customers · Cancel anytime

As an affiliate, we earn on qualifying purchases.Hide

A study by researchers at Florida Atlantic University and Brown University found that participants learned similarity-based visual categories more accurately when they used larger arm movements than when they pressed buttons. The benefit did not appear for rule-based categories and persisted when participants later switched to button presses. Whether the effect applies to real-world training remains untested.

Researchers from Florida Atlantic University and Brown University report that larger arm movements helped participants learn one type of visual category more accurately than simple button presses did. In the virtual-reality experiment, the advantage appeared for similarity-based patterns that require combining multiple features, but not for categories learned through explicit rules, suggesting that movement can affect learning itself in some tasks.

The study, published in Science Advances, asked participants to sort visual patterns using either button presses or larger arm movements. In the movement conditions, participants swung a virtual lightsaber at a target or punched a separate virtual response box. The task involved two kinds of categorization: applying a stated rule based on particular features, or recognizing a pattern by integrating several features, often without being able to explain the judgment in a simple rule.

Participants using larger movements performed better on the similarity-based categories than those using button presses. The researchers did not find a meaningful movement advantage for rule-based categories, including when they made that task more difficult. The benefit also appeared whether the arm movement was aimed at the target or directed at a separate response box.

The researchers ran additional tests to check whether the result could be explained by viewing time or response speed, and increased the complexity of the rule-based task. According to the report, the selective advantage remained. Participants who learned with larger movements also retained their advantage after switching to button presses, a result the researchers said points to an effect on learning rather than only a temporary boost to responding.

Movement May Help Pattern Training

The findings suggest that how people act during training may matter when a task requires them to combine information and recognize patterns. Most category-learning experiments have used limited movements such as button presses, treating movement mainly as a way to record a decision. The study instead supports the possibility that movement can contribute to learning in some circumstances.

That distinction could matter for training in fields such as medical diagnosis and aviation, where learners may need to interpret complex information rather than apply a single stated rule. The researchers said purposeful movement, including in virtual reality, could be explored as a training component. The study does not establish that movement improves performance in those real-world settings, nor that larger movements help every kind of learning.

Testing Two Kinds of Categories

Category learning includes tasks that look similar on the surface but rely on different strategies. In a rule-based task, a learner can make a decision by applying an explicit criterion. In a similarity-based task, a learner must integrate features and identify patterns, sometimes without being able to state exactly how the decision was reached.

As corresponding author Luke Rosedahl, an assistant professor of biomedical engineering at FAU, explained: “We found that larger movements substantially improved learning when people had to recognize patterns by integrating multiple features, but provided no meaningful benefit when people learned categories using explicit rules.” He added that the effect occurred whether participants swung at a target or punched a separate response box, suggesting the movement itself mattered more than direct contact with the visual target.

Rosedahl said category learning has often been studied as a process in which the brain identifies an object and then tells the body how to respond. “Our findings suggest movement can also shape learning itself,” he said. Stella Batalama, dean of FAU’s College of Engineering and Computer Science, said the work challenges assumptions about the relationship between thought and action.

““The movement itself appeared to matter, not whether it directly interacted with what they were learning.””

— Luke Rosedahl, corresponding author and assistant professor at Florida Atlantic University

Real-World Effects Still Untested

The experiment was conducted in virtual reality, and the report does not establish whether the same learning advantage occurs in classrooms, clinics, aviation training or other real-world settings. It also does not show that movement helps all learners or all complex tasks: the reported benefit was specific to similarity-based categories, with no meaningful improvement found for explicit-rule learning.

The source report does not provide details such as the number of participants, the size of the accuracy difference or how long the retained advantage lasted. Without those details, readers cannot judge the magnitude or durability of the effect from the report alone. Further research is needed to identify which movements, tasks and learners may benefit.

Researchers Must Test Practical Training

The next step is to test whether the laboratory result carries over to real-world learning and performance. The research team said movement-based approaches, including virtual-reality training, may be worth studying for tasks that depend on integrating information. The available report does not give a timeline for follow-up studies or identify a specific training program in development.

Until such tests are reported, the findings support a targeted conclusion: larger movements improved learning of one kind of visual category in the experiment. They do not yet establish a general training method or prove that adding movement will improve diagnosis, aviation decisions or other applied outcomes.

Key Questions

What did the study find?

Participants using larger arm movements learned similarity-based visual categories more effectively than participants using button presses. The researchers found no meaningful movement advantage for categories learned through explicit rules.

Did it matter what participants punched or swung at?

The reported benefit appeared both when participants swung at a target and when they punched a separate response box. The researchers said this suggests the movement itself may have mattered, rather than direct interaction with the visual pattern.

Did movement only help participants respond faster?

The researchers accounted for response speed and viewing time, and participants retained the advantage after switching from larger movements to button presses. They interpreted this as evidence that movement may have strengthened learning, though the study does not establish the mechanism.

Can this result be applied to medical or aviation training now?

Not on the basis of this study alone. Medical diagnosis and aviation were suggested as possible areas for future application, but the reported experiment took place in virtual reality and does not confirm benefits in real-world training.

Source: rss