Highly prestigious ERC Advanced Grant for Stephen Brewster
Congratulations to Professor Steve Brewster who has been awarded an ERC Advanced Grant worth €2.4 million for his 5-year project, "ViAjeRo: Virtual and Augmented Reality passenger experiences". ERC Advanced Grants back exceptional leaders throughout Europe who are recognised for their originality and the significance of their research contributions.
The project will investigate the use of virtual reality and augmented reality technologies for passengers on all forms of transport, but with particular interest in autonomous vehicles. VR/AR headsets could allow passengers to use their travel time in new productive ways, but key fundamental challenges must be solved. The key goals are:
- Develop novel interaction techniques for confined, seated spaces
- Support safe, socially acceptable use of virtual and augmented reality, providing awareness of others and the travel environment
- Overcome motion sickness thorugh novel multimodal countermeasures and neurostimulation
- Tailor the virtual and physical passenger environment to support new, immersive experience
More information on the University news web site https://www.gla.ac.uk/news/headline_641924_en.html
Professor Chris Johnson elected Fellow of the Royal Society of Edinburgh (RSE)
PWSAfrica - an article for early career researchers featured in LMS Newsletter, Issue 481
UKRI Centre for Doctoral Training in Social Intelligent Artifical Agents (SOCIAL)
Led by Computing Science Professor Alessandro Vinciarelli, a total of 50 new PhDs will be trained at the UKRI Centre for Doctoral Training in Social Intelligent Artificial Agents (SOCIAL).
SOCIAL is one of 16 new Centres for Doctoral Training (CDTs) which will share in £200m in new funding announced on 21 February 2019. The overarching goal of the CDT is to shape the next generation of experts in Artificial Social Intelligence. It is the AI domain aimed at endowing artificial agents with social intelligence: the ability to deal with users’ attitudes intentions, feelings, personality and expectations.
As well as training in key areas of AI such as human-computer interaction and machine learning, students will be trained by specialists in fields such as psychology, social sciences, ethics and neuroscience. Research will be developed in collaboration with industry partners to address real-world industry problems. Each PhD project will have an interdisciplinary supervisory team and/or industrial associate.
Full article on the University News site at www.gla.ac.uk/news/headline_638076_en.html
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