News and events
CEPET Virtual Colloquia Series - Visual Anticipation and Decision-Making in Sport
Dr Müller’s presentation will discuss the importance of visual anticipation and decision-making to expert performance in sports. His presentation will be structured into three parts. Part one, will make the case for why anticipation and decision-making are vital in order to guide action in high-speed sports skills. Part two, will outline how anticipation and decision-making can be assessed in athletes using video simulation and field-based tests. Part three, will explain how anticipation can be trained and whether it transfers to field settings. His presentation is relevant to researchers, coaches, analysts, and sports science support staff who are involved in athlete development across the skill continuum.
Speaker: Dr Sean Müller (Murdoch University, Australia).
When: Monday, July 6, 2-3pm.
Where: Virtual Zoom colloquium can be attended using this link: https://macquarie.zoom.us/j/99217562915
More Details: CEPET Colloquia Series Website.
2019 Annual Conference - Creating Experts: The Science of Training
The 4th CEPET Annual Conference was held on November 7-8, 2019, at the MGSM Executive Hotel and Conference Centre, Macquarie University. Sessions included:
- Development and maintenance of elite performance in sport
- Training resilience
- Training in communities of practice
- Developing musical expertise
- Artificial intelligence in Human expertise and training
2019 Annual Workshop - Attention and Distraction in Expertise
The Centre for Elite Performance, Expertise, and Training (CEPET) hosted its third annual research workshop on April 29, 2019, with nine invited special guest presentations from a range of disciplines. This year's workshop focused on the theme of ‘Attention and Distraction in Expertise’ with three sessions:
- Attention and Distraction in Professional Contexts
- Attention and Distraction in Every Day Contexts
- Attention and Distraction in Performance Contexts
Is it Possible to Learn Anything?
January 2020. There is no doubt that you can learn anything to a particular level, but there are individual differences in capability which means that some people certainly won’t reach the same level of expertise as others.
Some of us are more visual, some are more verbal, some are better at analysing information or more adept at responding to social or environmental cues, and so on.
Professor Mark Wiggins of the Centre for Elite Performance Expertise and Training at Macquarie University explains further in an interview for The Lighthouse.
Can Software Prevent Drownings?
March 2019. The last few summers have been horrible for drownings and near-drownings in Australian waterways. Foreign visitors and international students are over-represented in these tragic statistics. Often visitors to our shores are unable to read the cues and signs of dangerous water conditions that come with an upbringing around pools, the beach, and rivers. Research out of Macquarie University, recently published in The Lighthouse, is seeking to reduce risks and educate visitors using software originally designed for industry management.
Radio station 2SER spoke to Professor Mark Wiggins of the Centre for Elite Performance Expertise and Training at Macquarie University to find out more. Click here to listen to the interview.
Prof. Simon Handley Opens 2018 CEPET Conference
November 2018. Macquarie University's Executive Dean of the Faculty of Human Sciences, Prof Simon Handley, gave a stirring opening address to the 2018 CEPET Annual Conference on November 16, 2019.
This year, the conference explored expertise in high-stakes environments across cybersecurity, defence, sport and the arts.
Prof Mike Richardson Receives Prestigious ARC Future Fellowship
August 2018. CEPET member Professor Mike Richardson was awarded a prestigious ARC Future Fellowship in 2018 for his project entitled 'Modelling human perceptual-motor interaction for human-machine applications', worth $993,643 AUD.
This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating models of effective human interaction that can be easily implemented in human-machine systems. This will provide a richer understanding of the fundamental perceptual-motor processes that support robust human interaction and enhanced the effectiveness of human-machine collaboration and training technologies.