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User Attention and Behaviour in Virtual Reality Art Encounter

Authors :
Mu, Mu
Dohan, Murtada
Goodyear, Alison
Hill, Gary
Johns, Cleyon
Mauthe, Andreas
Mu, Mu
Dohan, Murtada
Goodyear, Alison
Hill, Gary
Johns, Cleyon
Mauthe, Andreas
Publication Year :
2020

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.

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1228409227
Document Type :
Electronic Resource