User attention and behaviour in virtual reality art encounter

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

doi:10.1007/s11042-022-13365-2

Cited by 12 publications

(6 citation statements)

References 32 publications

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“…However, the recent conjunction of virtual reality with museum practice has transformed the museum context by creating highly immersive and user-centered experiences that often resemble physical museum spaces. Consequently, research on the users' motivation and the levels of engagement, learning, interaction, satisfaction, etc., in these virtual environments constructs a continuously updated core of study for the literature, which requires systematic and thorough study [38][39][40][41][42][43][44].…”

Section: Advanced Visualization Technology For Cultural Experiences 2...mentioning

confidence: 99%

Enhanced Inclusion through Advanced Immersion in Cultural Heritage: A Holistic Framework in Virtual Museology

Anastasovitis,

Georgiou,

Matinopoulou

et al. 2024

Electronics

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In recent years, the digitization of cultural heritage has been favored by significant advancements in specific technologies, such as photogrammetry and three-dimensional scanning. The digital representations of artifacts, paintings, books, and collections, as well as buildings or archaeological sites, has led to the transfer of cultural organizations to the digital space. On the other hand, the rapid development of immersive technologies and the Internet of Things is expected to decisively shape virtual cultural heritage in the coming years. However, this digital transition should expand its impact on most of the population. This article aims to cover the lack of structured methodology in the design and development of inclusive virtual spaces in cultural heritage. This research introduces a holistic framework that is mainly based on the disciplines of virtual museology. The proposed methodology takes into account the advancements in extended reality and the creative industry of computer games. The multisensory approach would lead to advanced immersive experiences, while the multilayered approach of cultural heritage content would enhance accessibility in inclusive virtual spaces. Moreover, this holistic framework could provide evidence from the virtual worlds that could be applied to real cultural heritage organizations.

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Section: Advanced Visualization Technology For Cultural Experiences 2...mentioning

confidence: 99%

Enhanced Inclusion through Advanced Immersion in Cultural Heritage: A Holistic Framework in Virtual Museology

Anastasovitis,

Georgiou,

Matinopoulou

et al. 2024

Electronics

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“…The artist aims to investigate how participants split their attention among these brushstrokes. In previous work, we studied user attention modelling and eye gaze-based community generative art [8,33]. In this paper, we focus on user interactions related to walking and navigation.…”

Section: Virtual Environmentmentioning

confidence: 99%

“…Therefore, we involved a range of human-related features in this experiment. The VR painting was created by artist Goodyear using Google Tilt Brush [8]. The experimental environment was developed using a Unity3D game engine with a combination of hardware sensors and software tracking tools.…”

Section: Introductionmentioning

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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“…The artist aims to investigate how participants split their attention among these brushstrokes. In previous work, we studied user attention modelling and eye-gaze based community generative art [7,32]. In this paper, we are focusing on user interactions related to walking and navigation.…”

Section: Virtual Environmentmentioning

confidence: 99%

“…Thus, we involved a range of human-related features in this experiment. The VR painting was created by artist Goodyear using Google Tilt Brush [7]. The experimental environment was developed using a Unity3D game engine with a combination of hardware sensors and software tracking tools.…”

Section: Introductionmentioning

confidence: 99%

Real-Walk Modelling: Deep Learning Model for User Mobility in Virtual Reality

Dohan

Ajit

et al. 2022

Preprint

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Understanding human interactions in virtual reality (VR) can help developing intelligent applications that adapt to users' needs and enhance the user experience. The significant development of VR content has expanded the impact on VR complexity, making understanding VR spatial characteristics more difficult. While user mobility is a crucial part of their interactions with the VR environment, the current literature still does not provide a suitable framework to interpret and model VR user mobility data. We conducted a user experiment in the context of an abstract VR painting exhibition where users are prompted to walk naturally in a physical area to explore the VR painting. Deep Learning models are used to model user mobility sequences and predict their future movements while engaging with the art exhibition. Our user mobility model can support the development of new VR applications for the improved user navigation and social experience in VR.

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User attention and behaviour in virtual reality art encounter

Cited by 12 publications

References 32 publications

Enhanced Inclusion through Advanced Immersion in Cultural Heritage: A Holistic Framework in Virtual Museology

Enhanced Inclusion through Advanced Immersion in Cultural Heritage: A Holistic Framework in Virtual Museology

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

Real-Walk Modelling: Deep Learning Model for User Mobility in Virtual Reality

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