Performance augmentation

Performance Augmentation seeks to bridge the gap between abstract knowledge and practical application, researching radically new methods to connect knowing something ‘in principle’ to application ‘in practice’. This topic is focused on identifying, developing, and validating solutions that meets the need of modern industry for access to expertise, professional development. Immersive and wearable technologies enable us to rethink personal computing to embed knowledge directly into what people experience, enriching the world beyond the visible with novel and powerful forms of feedback on performance.

We research mixed reality interactive content and establish interoperability to improve user experience and human performance, while at the same time lowering entry barriers and providing safe routes for R&D investment. 

Projects pilot novel experience capturing and guidance, holographic artificial intelligences, and human performance analytics with real-time applications; evaluating dimensions such as affective attachment, immediacy, utility, and accuracy.

• Learning Futures
• Learning in an Open World
• Learning Analytics and Learning Design
• Professional and Digital Learning.

Entry requirements

Minimum 2:1 undergraduate degree (or equivalent) and an MA or research methods training at MA level (or equivalent). If you are not a UK citizen, you may need to prove your knowledge of English.

Potential supervisors

Contact the programme lead to advise: Professor Fridolin Wild

Fees and funding

PhD fees

Professional doctorate fees

Some of our research students are funded via The Grand Union Doctoral Training Partnership and the Open-Oxford-Cambridge AHRC Doctoral Training Partnership; others are self-funded.

For detailed information about fees and funding, visit Fees and studentships.

To see current funded studentship vacancies across all research areas, see Current studentships.

Links

• IET Research