Intuitive physical reasoning about objects' masses transfers to a visuomotor decision task consistent with Newtonian...

Area of Science:

• Cognitive Science
• Physics
• Human-Computer Interaction

Background:

• Intuitive physics judgments often deviate from Newtonian predictions.
• Deviations may stem from perceptual uncertainty and prior beliefs, not just misconceptions.
• The link between intuitive physics reasoning and visuomotor actions is under-explored.

Purpose of the Study:

• To investigate how intuitive physical reasoning influences visuomotor control.
• To examine the transfer of intuitive physics knowledge to a simulated sliding task.
• To model human adaptation to physical laws under varying uncertainty.

Main Methods:

• Participants slid pucks in a virtual environment, controlling force by button-press duration.
• Sensory feedback and knowledge of physical properties were manipulated across experimental phases.
• Hierarchical Bayesian models analyzed visuomotor interaction and perceptual observation tasks, incorporating uncertainty and motor variability.

Main Results:

• Participants adjusted sliding actions consistent with Newtonian physics.
• Inferred masses from perceptual tasks were transferred to subsequent motor actions.
• A cost function captured participants' sensitivity to motor errors.

Conclusions:

• Intuitive physical reasoning can be effectively transferred to visuomotor control tasks.
• Human adaptation to physical laws in action is consistent with Newtonian principles.
• Motor variability and perceptual uncertainty shape cost functions in action planning.