User Attention and Behaviour in Virtual Reality Art Encounter

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Authors Mu Mu, Murtada Dohan, Alison Goodyear, Gary Hill, Cleyon Johns, Andreas Mauthe arXiv ID 2005.10161 Category cs.HC: Human-Computer Interaction Cross-listed cs.MA, cs.MM Citations 19 Venue Multimedia tools and applications Last Checked 4 months ago
Abstract
With the proliferation of consumer virtual reality (VR) headsets and creative tools, content creators have started to experiment with new forms of interactive audience experience using immersive media. Understanding user attention and behaviours in virtual environment can greatly inform creative processes in VR. We developed an abstract VR painting and an experimentation system to study audience encounters through eye gaze and movement tracking. The data from a user experiment with 35 participants reveal a range of user activity patterns in art exploration. Deep learning models are used to study the connections between behavioural data and audience background. New integrated methods to visualise user attention as part of the artwork are also developed as a feedback loop to the content creator.
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