User Attention and Behaviour in Virtual Reality Art Encounter

Mu Mu*, Murtada Dohan, Alison Goodyear, Gary Hill, Cleyon Johns, Andreas Mauthe

*Corresponding author for this work

Research output: Contribution to JournalArticlepeer-review

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.
Original languageEnglish
JournalMultimedia Tools and Applications
DOIs
Publication statusAccepted/In press - 3 Jun 2022

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