Home News Human Brain Reacts Differently to Table Tennis Matches Against Human and Machine Opponents

Human Brain Reacts Differently to Table Tennis Matches Against Human and Machine Opponents

by WeeklyAINews
0 comment

Researchers on the College of Florida have discovered that the brains of desk tennis gamers react in another way when enjoying in opposition to human opponents in comparison with machine opponents. The study, led by graduate scholar Amanda Studnicki and her advisor, Daniel Ferris, a professor of biomedical engineering, aimed to grasp how our brains reply to the calls for of high-speed sports activities like desk tennis and the way the selection of opponent impacts this response.

Ferris defined the importance of the research: “People interacting with robots goes to be totally different than once they work together with different people. Our long-term purpose is to attempt to perceive how the mind reacts to those variations.”

Analyzing the Neuroscience Behind Sports activities Efficiency

The mind’s efficiency throughout sports activities actions has been a topic of curiosity for researchers for years. In complicated, fast-paced sports activities like desk tennis, understanding how the mind processes data and controls actions can present priceless insights into sports activities coaching and the event of simpler coaching strategies.

This analysis additionally has implications for the way forward for human-robot interactions, as robots develop into extra frequent and complicated in numerous features of human life. Understanding the mind’s response to robotic counterparts will help make synthetic companions extra naturalistic and enhance their integration into our each day lives.

To analyze the mind’s response throughout desk tennis matches, Studnicki and Ferris used a brain-scanning cap geared up with 240 electrodes. This allowed them to concentrate on the parieto-occipital cortex, the area answerable for turning sensory data into motion. They recorded the mind exercise of gamers whereas they performed in opposition to each human opponents and a ball-serving machine.

See also  AI and human error: Root causes and mitigation strategies

Studnicki stated, “We wished to grasp the way it labored for complicated actions like monitoring a ball in area and intercepting it, and desk tennis was good for this.”

Synchronization vs. Desynchronization: The Mind’s Response to Completely different Opponents

The researchers noticed that when enjoying in opposition to one other human, gamers’ neurons labored in unison, displaying synchronization. In distinction, when enjoying in opposition to a ball-serving machine, the neurons of their brains weren’t aligned with each other, resulting in desynchronization.

Ferris defined the distinction: “If now we have 100,000 folks in a soccer stadium and so they’re all cheering collectively, that’s like synchronization within the mind, which is an indication the mind is relaxed. If now we have those self same 100,000 folks however they’re all speaking to their mates, they’re busy however they’re not in sync. In quite a lot of instances, that desynchronization is a sign that the mind is doing quite a lot of calculations versus sitting and idling.”

The workforce suspects that gamers’ brains had been extra lively whereas ready for robotic serves as a result of machines present no cues of what they’ll do subsequent. This distinction in mind processing means that coaching with a machine won’t supply the identical expertise as enjoying in opposition to an actual opponent.

The Way forward for Machine-assisted Sports activities Coaching

Though the research highlights the variations in mind exercise when dealing with human and machine opponents, it doesn’t dismiss the worth of machine-assisted coaching. Studnicki believes that machines will proceed to play a big position in sports activities coaching: “I nonetheless see quite a lot of worth in practising with a machine. However I feel machines are going to evolve within the subsequent 10 or 20 years, and we might see extra naturalistic behaviors for gamers to follow in opposition to.”

See also  Typical Workflow for Building a Machine Learning Model

As expertise advances, it’s probably that machines will develop into extra able to mimicking human habits and offering extra real looking coaching experiences. By understanding the nuances of human mind exercise in response to totally different opponents, researchers can contribute to the event of simpler coaching strategies and improve

Source link

You may also like

logo

Welcome to our weekly AI News site, where we bring you the latest updates on artificial intelligence and its never-ending quest to take over the world! Yes, you heard it right – we’re not here to sugarcoat anything. Our tagline says it all: “because robots are taking over the world.”

Subscribe

Subscribe my Newsletter for new blog posts, tips & new photos. Let's stay updated!

© 2023 – All Right Reserved.