Activities per year
Abstract
AbstractWith the proliferation of consumer virtual reality (VR) headsets and creative tools, content creators are experimenting with new forms of interactive audience experience using immersive media. Understanding user attention and behaviours in virtual environment can greatly inform the creative processes in VR. We developed an abstract VR painting and an experimentation system to study audience art 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 the behavioural data and the audience’s background. The work also introduced new integrated methods to visualise user attention for content creators.
Original language | English |
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Journal | Multimedia Tools and Applications |
Early online date | 4 Jul 2022 |
DOIs | |
Publication status | Published - 4 Jul 2022 |
Keywords
- Computer Networks and Communications
- Hardware and Architecture
- Media Technology
- Software
Fingerprint
Dive into the research topics of 'User Attention and Behaviour in Virtual Reality Art Encounter'. Together they form a unique fingerprint.Activities
- 1 Keynote
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Keynote: Powering up VR applications with eye gaze and mobility tracking
Mu Mu (Author)
6 Sept 2022Activity: Academic Talks or Presentations › Keynote › Research
Datasets
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User Attention and Behaviour in Virtual Reality Art Encounter
Mu, M. (Creator) & Dohan, M. (Creator), GitHub, 2021
https://github.com/UoN-VR/MTAP_Data_and_Experiment/tree/main/Data
Dataset
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User mobility data of an AI virtual navigation system
Dohan, M. (Creator) & Mu, M. (Creator), GitHub, 26 May 2022
https://github.com/Murtada100/EyeVRDataset
Dataset