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With the proliferation of consumer virtual reality (VR) headsets and creativetools, content creators have started to experiment with new forms ofinteractive audience experience using immersive media. Understanding userattention and behaviours in virtual environment can greatly inform creativeprocesses in VR. We developed an abstract VR painting and an experimentationsystem to study audience encounters through eye gaze and movement tracking. Thedata from a user experiment with 35 participants reveal a range of useractivity patterns in art exploration. Deep learning models are used to studythe connections between behavioural data and audience background. Newintegrated methods to visualise user attention as part of the artwork are alsodeveloped as a feedback loop to the content creator.

User Attention and Behaviour in Virtual Reality Art Encounter