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to support identification of such deepfakes. Using a mixed-method methodology and eye-tracking technology, we will investigate whether people can reliably identify deepfakes (face images and video clips), what
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external devices using software like Max/MSP, Arduino, or similar programs. The successful candidate will have to have some experience of motion tracking devices and built a portfolio as an art practitioner
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between the ostensibly objective evidence base from a scientific perspective, and the perceptions of people with metabolic disease and those responsible for advising on their care. The project aims
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