Blortasia

Mack, Kevin

doi:10.1145/3089269.3089275

Cited by 3 publications

(1 citation statement)

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“…Blortasia is an abstract art world in the sky where viewers fly freely through a surreal maze of evolving sculptures [11].…”

Section: Background and Related Workmentioning

confidence: 99%

Real-walk modelling: deep learning model for user mobility in virtual reality

Dohan,

Mu,

Ajit

et al. 2024

Multimedia Systems

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This paper presents a study on modelling user free walk mobility in virtual reality (VR) art exhibition. The main objective is to investigate and model users’ mobility sequences during interactions with artwork in VR. We employ a range of machine learning (ML) techniques to define scenes of interest in VR, capturing user mobility patterns. Our approach utilises a long short-term memory (LSTM) model to effectively model and predict users’ future movements in VR environments, particularly in scenarios where clear walking paths and directions are not provided to participants. The DL model demonstrates high accuracy in predicting user movements, enabling a better understanding of audience interactions with the artwork. It opens avenues for developing new VR applications, such as community-based navigation, virtual art guides, and enhanced virtual audience engagement. The results highlight the potential for improved user engagement and effective navigation within virtual environments.

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“…Blortasia is an abstract art world in the sky where viewers fly freely through a surreal maze of evolving sculptures [11].…”

Section: Background and Related Workmentioning

confidence: 99%

Real-walk modelling: deep learning model for user mobility in virtual reality

Dohan,

Mu,

Ajit

et al. 2024

Multimedia Systems

View full text Add to dashboard Cite

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SOUND OF(F): Contextual Storytelling Using Machine Learning Representations of Sound and Music

Erol

Zhang

Özgünay

et al. 2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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User attention and behaviour in virtual reality art encounter

Dohan

Goodyear

et al. 2022

Multimed Tools Appl

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With 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.

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Blortasia

Cited by 3 publications

References 0 publications

Real-walk modelling: deep learning model for user mobility in virtual reality

Real-walk modelling: deep learning model for user mobility in virtual reality

SOUND OF(F): Contextual Storytelling Using Machine Learning Representations of Sound and Music

User attention and behaviour in virtual reality art encounter

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