University of Tokyo Study Finds Motor Exploration Builds a Stronger Sense of Agency in New Human-Computer Tasks

Why do people feel they are in control of their own movements, especially when learning an unfamiliar task? New research from the University of Tokyo examines how the brain builds a sense of agency, the feeling that an action and its outcome are self-generated.

Sense of agency is central to everyday activities, from walking and typing to manipulating objects in the environment. It is also increasingly relevant to modern human-computer interfaces, including virtual reality tools, assistive devices, and emerging brain-machine technologies.

How the brain detects control

Researchers often explain agency using the comparator model, where the brain predicts what should happen when a person moves and then compares that prediction with incoming sensory feedback. When prediction and feedback align, the feeling of control tends to strengthen.

The Tokyo team noted a gap in this framework when applied to learning from scratch, when accurate predictions do not yet exist. In early learning, people often try actions first and only later infer the rules linking movement to outcomes.

Testing agency during new motor learning

In the study, participants used a specialized data glove to move a cursor on a screen through finger motions, learning the hand-to-screen mapping by trial and error. At different stages, the researchers assessed how strongly participants felt they controlled the cursor, including when the cursor was subtly shifted in space or delayed in time.

During the earliest stage, participants relied heavily on timing, judging agency largely by whether the cursor moved in sync with their fingers. With practice, agency increasingly depended on whether the cursor followed the learned mapping, a pattern that was strongest among higher-performing participants.

Why exploration mattered

A second experiment reduced motor exploration by having participants imitate presented gestures aimed at reaching target positions. In that setup, the researchers did not observe the same growth in agency, suggesting that imitation alone may not produce the same internal understanding of control.

The findings point to an important role for active motor exploration in forming a structural representation of how movements cause outcomes. The researchers argue this kind of rule discovery can help build more robust agency, with potential implications for rehabilitation training, VR interaction design, and future interface development.