I study how audiences perceive, interpret and remember cinematic media,
combining computational perception models, narrative structure analysis
and interactive media systems to understand how films guide attention,
emotion and interpretation.
I treat attention as a perceptual mechanism and trust as a higher level
interpretive judgement, and study how computational media systems shape
the relationship between the two. The long term goal is artificial
systems that can watch a film, find the narrative structure in it, and
model viewer engagement the way a human audience does.
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Computational film perception
How visual attention, emotion and narrative structure shape viewer
engagement, studied through behavioural signals, saliency modelling
and temporal media analytics.
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Narrative structure intelligence
Models that pull structural patterns out of film scripts and
sequences, phases, transitions, tension, causal density, and relate
narrative form to how an audience receives it.
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Generative and interactive media
Experimental systems for storytelling, performance and AI mediated
media, including computational treatments of traditional performance
forms and questions of trust in autonomous media.
