How do humans reconcile the demands of an audiovisual environment with their viewing goals when deciding where to shift attention? Current neurocognitive insights into attention control are derived from studies in which the stimuli used are highly artificial (e.g. simple static 2D displays) and viewer movement and behaviour highly constrained, a far cry from the immersive dynamic everyday scenes attention control developed to handle. This PhD project will utilise recent advances in optical imaging (broadband Near-Infrared Spectroscopy), computer graphics and artificial intelligence to develop a neurocomputational model of overt attention in naturalistic visual scenes.
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