This project seeks to provide a structured and effective method for dynamically adapting mixed reality user interfaces to be most suitable for the current context of use. Context here is treated broadly and may refer to physical location context, task context, and user capability context. Such adaptations must be smooth and preserve awareness of interface elements to ensure productive and enjoyable interaction experiences. Contextual adaptation of interfaces is further complicated in multi-user settings where adaptations may need to consider the context of many users at the same time while delivering a common and consistent shared experience for all users. These requirements for contextual adaptation are unique to mixed reality use cases given the spatial and embodied nature of interactions.
The primary objectives of this project are to identify the requirements for contextually adaptive mixed reality user interfaces, develop the conceptual and technical architecture which can support this functionality, and build and validate the effectiveness of a proof-of-concept implementation. A secondary objective of the project will be the provision of design support tools allowing developers to embed such adaptation functionality into their applications.
Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in Engineering or Computer Science.
Strong software development skills, ideally with particular experience in development for AR/VR, are highly desirable. An awareness of Machine Learning and Computer Vision techniques would be advantageous.
EPSRC DTP studentships are fully-funded (fees and maintenance) for students eligible for Home Fees. Overseas students may be considered for a small number of awards at the Home Fees rate. Further details about eligibility and funding can be found at: https: // www. postgraduate.study.cam.ac.uk/finance/fees https: // www. cambridgetrust.org/scholarships/
To apply for this studentship, please send your two page CV and one page cover letter outlining your suitability to John Dudley (firstname.lastname@example.org) to arrive no later than Friday 10 February. Please include "DTP23-CAMRUI" in your email subject.
Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately for admission through the University's Graduate Admissions application portal; this can be done before or after applying for this funding opportunity. The applicant portal can be accessed via: www. graduate.study.cam.ac.uk/courses/directory/egegpdpeg. The funding is conditional on submitting this application before 31 March 2023.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.Department/Location
Department of Engineering, CambridgeReference
15 December 2022Closing date
10 February 2023