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Featured bySwansea University
Overview
Scholarship type
Merit based
Number of scholarships to award
Multiple
Grant
Full tuition waiver + £19,237
Scholarship coverage
- tuition fee reduction
- other
Description
Many industries are relocating workers from hazardous environments to supervisory rooms, where they need to engage with automated systems to perform their work. A critical challenge in human-automated systems interaction lies in effectively managing human factors such as cognitive load (CL) and emotions such as stress to ensure optimal task execution. However, currently, measuring CL involves bulky, expensive techniques such as functional magnetic resonance imaging and magnetoencephalography, limiting their practicality. Recent progress in wearable design helps non-invasively measure CL and stress by synchronously analysing physiological indicators such as Pupillometry, heart-rate variability, and skin conductivity. Regardless, previous work involved wearing eye trackers and heart monitors, which may not be suitable for real-time inspection setups. Besides, the tasks utilised to collect data for estimating CL were superficial and consequently, CL measures were task dependent.
Thus, there is a clear need to develop less invasive and robust task-independent measures for CL. This need is particularly relevant in non-destructive evaluation (NDE), where automation is increasing, and human factors significantly contribute to uncertainties in inspection results. This project will explore corrective methods to enhance inspection reliability by developing robust measure of CL and correlating it with operator performance.
Applicable programmes
Benefits
This scholarship covers the full cost of tuition fees and an annual stipend at £19,237.
Additional research expenses will also be available.
Eligibility
- Candidates must hold an Upper Second Class (2.1) honours degree or an appropriate master’s degree with a minimum overall grade at ‘Merit’ in Computer Science, Mathematics or a closely related discipline.
- If you are eligible to apply for the scholarship (i.e. a student who is eligible to pay the UK rate of tuition fees) but do not hold a UK degree, you can check their comparison entry requirements.
- Please note that you may need to provide evidence of your English Language proficiency.
- Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA regulations.
Scholarship requirements
Disciplines
Computer Sciences
Locations
United Kingdom
Nationality
Any
Study experience required
Master
Age
Unknown
Application
Application deadline
29 Apr 2024
To apply, please complete your application online with the following information:
Course choice – please select Computer Science / PhD / Full-time / 3 Year / October (or January)
Start year – please select 2024 (or 2025)
Funding (page 8) –
‘Are you funding your studies yourself?’ – please select No
‘Name of Individual or organisation providing funds for study’ – please enter ‘RS584 - Real Time Tracking’
*It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award.
One application is required per individual Swansea University led research scholarship award; applications cannot be considered listing multiple Swansea University led research scholarship awards.