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User Attention and Behaviour in Virtual Reality Art Encounter

  • Mu Mu (Creator)
  • Murtada Dohan (Creator)

Dataset

Description

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.
Date made available2021
PublisherGitHub
Date of data production2019 - 2021
  • User Attention and Behaviour in Virtual Reality Art Encounter

    Mu, M., Dohan, M., Goodyear, A., Hill, G., Johns, C. & Mauthe, A., 4 Jul 2022, In: Multimedia Tools and Applications. 83, p. 46595-46624 30 p.

    Research output: Contribution to JournalArticlepeer-review

    Open Access
    File

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