Improvements of Computer Assisted Virtual Environment (CAVE)

Fandáková, Miriam; Zábovská, Katarína; Bucko, B.; Zábovský, Michal

doi:10.23919/mipro48935.2020.9245349

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…The correlation between VOR and VR can be applied in studies involving human behavior and human-computer interaction. For instance, investigations into VR immersion may include the utilization of a computer-assisted virtual environment (CAVE) [37] to provide full subject immersion. Additionally, while a subject is immersed in VR, physiological responses can be fully tracked and/or recorded in a CAVE environment, considering the proprioceptive and somatic nervous systems as sup-plementary signal inputs to the human body [38].…”

Section: A Applicationsmentioning

confidence: 99%

Eye Movements and Vestibulo-Ocular Reflex as User Response in Virtual Reality

2023

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Virtual reality (VR) is increasingly used in gaming, training, and health-related applications. However, the level of immersion and presence generated by VR can significantly influence the user and the achievement of desired outcomes. Therefore, methods to assess levels of immersion and presence need to be established. In this paper, we investigate the vestibulo-ocular reflex (VOR) and saccadic eye movements in multiple subjects exposed to VR to determine if VR triggers these responses as in real life. Using an HTC VIVE Pro Eye headset and Tobii Pro Lab software, we record head and eye movements in response to a 3D video of a roller coaster ride. Our results show that critical scenes in the video triggered VOR and saccadic eye movements in most subjects, indicating a strong correlation between VOR and saccadic eye movements during VR immersion. These findings may have implications for the study of human behavior and suggest the use of eye movement measures as feedback mechanisms during VR experiences.INDEX TERMS Eye movements, head movements, virtual reality, vestibular-ocular, reflex, saccadic movements.

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Section: A Applicationsmentioning

confidence: 99%

Eye Movements and Vestibulo-Ocular Reflex as User Response in Virtual Reality

2023

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“…Previously, CAVE systems surrounded users with at least four projection screens or displays [84], though some approaches used 5 or 6 displays [256]. Given the decreasing costs of LCD panels, it is now reasonable to use these to construct a CAVE system [101], these also have superior screen quality and resolution compared to projected systems.…”

Section: Hardware Of Large Displaysmentioning

confidence: 99%

Visualisation of Long in Time Dynamic Networks on Large Touch Displays

Lee¹

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Any dataset containing information about relationships between entities can be modelled as a network. This network can be static, where the entities/relationships do not change over time, or dynamic, where the entities/relationships change over time. Network data that changes over time, dynamic network data, is a powerful resource when studying many important phenomena, across wide-ranging ﬁelds from travel networks to epidemiology.However, it is very difﬁcult to analyse this data, especially if it covers a long period of time (e.g, one month) with respect to its temporal resolution (e.g. seconds). In this thesis, we address the problem of visualising long in time dynamic networks: networks that may not be particularly large in terms of the number of entities or relationships, but are long in terms of the length of time they cover when compared to their temporal resolution.We ﬁrst introduce Dynamic Network Plaid, a system for the visualisation and analysis of long in time dynamic networks. We design and build for an 84" touch-screen vertically-mounted display as existing work reports positive results for the use of these in a visualisation context, and that they are useful for collaboration. The Plaid integrates multiple views and we prioritise the visualisation of interaction provenance. In this system we also introduce a novel method of time exploration called ‘interactive timeslicing’. This allows the selection and comparison of points that are far apart in time, a feature not offered by existing visualisation systems. The Plaid is validated through an expert user evaluation with three public health researchers.To conﬁrm observations of the expert user evaluation, we then carry out a formal laboratory study with a large touch-screen display to verify our novel method of time navigation against existing animation and small multiples approaches. From this study, we ﬁnd that interactive timeslicing outperforms animation and small multiples for complex tasks requiring a compari-son between multiple points that are far apart in time. We also ﬁnd that small multiples is best suited to comparisons of multiple sequential points in time across a time interval.To generalise the results of this experiment, we later run a second formal laboratory study in the same format as the ﬁrst, but this time using standard-sized displays with indirect mouse input. The second study reafﬁrms the results of the ﬁrst, showing that our novel method of time navigation can facilitate the visual comparison of points that are distant in time in a way that existing approaches, small multiples and animation, cannot. The study demonstrates that our previous results generalise across display size and interaction type (touch vs mouse).In this thesis we introduce novel representations and time interaction techniques to improve the visualisation of long in time dynamic networks, and experimentally show that our novel method of time interaction outperforms other popular methods for some task types.

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Improvements of Computer Assisted Virtual Environment (CAVE)

Cited by 2 publications

References 4 publications

Eye Movements and Vestibulo-Ocular Reflex as User Response in Virtual Reality

Eye Movements and Vestibulo-Ocular Reflex as User Response in Virtual Reality

Visualisation of Long in Time Dynamic Networks on Large Touch Displays

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