Launch of the Human-Centred Computing Laboratory

This Wednesday sees the official launch of the Human-Centred Computing Laboratory (HCC Lab) at the University of Canberra.
Guests and colleagues will be welcomed by Michael Wagner, Director of the HCC Lab, by Dharmendra Sharma, the Dean of the Faculty of Information Sciences and Engineering and by Frances Shannon, the Deputy Vice-Chancellor (Research) of the University.
The guest of honour is Senator Kate Lundy and she will launch the HCC Lab.
Thereafter there will be a full-day workshop on Biometrics, Vision and Sensing, and Sport Information and Informatics. Kuldip Paliwal, Griffith University and Michael Breakspear will make keynote addresses. Kuldip will discuss Modulation-domain speech enhancement and Michael’s topic is Quantitative assessment in psychiatry using embedding technologies.
Other presentations will be given by Michael Wagner (anger detection), Denis Burnham (speech), Roland Goecke (facial expression), Yuko Kinoshita (voice comparison), Girija Chetty (information fusion), Tania Churchill (training adaptation in sport) and me (sport information and informatics).
My paper is titled Greater Than The Sum Of Our Parts? I will report on my work to date with colleagues in the Faculty of Information Sciences and Engineering. I will consider the opportunities for research and practice in Sports Information and Sports Informatics. I conclude with a discussion of open access, interdisciplinary research in a connected University.
My key points will be:

  • The importance of collaborative enquiry
  • The increasing synthesis of sport information and sport informatics
  • The opportunities for open access to research processes and outcomes
  • The interdisciplinary riches inherent in a human-centred computing laboratory

I suggest that the observation, recording and analysis of performance provide the catalysts for interdisciplinary endeavour in the HCC Lab.
Some images to illustrate work underway:
[slideshare id=10277445&doc=hccllaunch-111122141649-phpapp01]
Photo Credit
Machine Learning



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