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Expert players accurately detect an opponent's movement intentions through sound alone
Ivan Camponogara1, Matthew Rodger2, Cathy Craig2
1Department of Neurological, Biomedical and Movement Sciences, University of Verona.
Humans can infer action intentions from sounds alone, especially in sports. Experienced athletes better predict movements using auditory cues, demonstrating that sound-based intention recognition improves with practice.
Area of Science:
- Auditory perception
- Action intention recognition
- Motor control
Background:
- Sound provides rich environmental information, but its role in recognizing actions beyond speech and music is understudied.
- Understanding if auditory cues alone can reveal an agent's intentions is crucial for human-agent interaction.
Purpose of the Study:
- To assess if action intention can be inferred from movement-generated sounds.
- To determine if this auditory information can guide prospective movement.
- To investigate the role of expertise in sound-based intention recognition.
Main Methods:
- Two experiments involved participants virtually intercepting a virtual attacker using audio recordings of movements.
- Participants (novice and experienced basketball players) controlled a slider or their body to block the attacker.
- Deceptive and non-deceptive movements were used to test auditory intention perception.
Main Results:
- Basketball players predicted the attacker's final running direction more accurately than nonplayers.
- Prediction accuracy was higher in the second experiment, which used more basketball-specific actions.
- Auditory kinematic features of deceptive movements were effectively utilized by athletes.
Conclusions:
- Action intention can be perceived through the sounds movements produce.
- The ability to discern action intention from sound is enhanced through specialized practice and expertise.
- Auditory information alone can prospectively guide motor actions, particularly in practiced domains.
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