7,350 research outputs found

    Towards Understanding and Expanding Locomotion in Physical and Virtual Realities

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    Among many virtual reality interactions, the locomotion dilemma remains a significant impediment to achieving an ideal immersive experience. The physical limitations of tracked space make it impossible to naturally explore theoretically boundless virtual environments with a one-to-one mapping. Synthetic techniques like teleportation and flying often induce simulator sickness and break the sense of presence. Therefore, natural walking is the most favored form of locomotion. Redirected walking offers a more natural and intuitive way for users to navigate vast virtual spaces efficiently. However, existing techniques either lead to simulator sickness due to visual and vestibular mismatch or detract users from the immersive experience that virtual reality aims to provide. This research presents innovative techniques and applications to enhance the user experience by expanding walkable, physical space in Virtual Reality. The thesis includes three main contributions. The first contribution proposes a mobile application that uses markerless Augmented Reality to allow users to explore a life-sized virtual library through a divide-and-rule approach. The second contribution presents a subtle redirected walking technique based on inattentional blindness, using dynamic foveated rendering and natural visual suppressions like blinks and saccades. Finally, the third contribution introduces a novel redirected walking solution that leverages a deep neural network, to predict saccades in real-time and eliminate the hardware requirements for eye-tracking. Overall, this thesis offers valuable contributions to human-computer interaction, investigating novel approaches to solving the locomotion dilemma. The proposed solutions were evaluated through extensive user studies, demonstrating their effectiveness and applicability in real-world scenarios like training simulations and entertainment

    Inattentional Blindness for Redirected Walking Using Dynamic Foveated Rendering

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    Redirected walking is a Virtual Reality(VR) locomotion technique which enables users to navigate virtual environments (VEs) that are spatially larger than the available physical tracked space. In this work we present a novel technique for redirected walking in VR based on the psychological phenomenon of inattentional blindness. Based on the user's visual fixation points we divide the user's view into zones. Spatially-varying rotations are applied according to the zone's importance and are rendered using foveated rendering. Our technique is real-time and applicable to small and large physical spaces. Furthermore, the proposed technique does not require the use of stimulated saccades but rather takes advantage of naturally occurring saccades and blinks for a complete refresh of the framebuffer. We performed extensive testing and present the analysis of the results of three user studies conducted for the evaluation

    An Overview of Redirected Walking Approaches and Techniques in Virtual Reality

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    One major obstacle to the ideal of virtual reality is the physical constraints of the user’s location, primarily its limited size. A commonly proposed solution is using redirected walking, defined as manipulation of the user’s experience to alter their walking path, to keep the user within a confined physical space without causing any perceivable sensory distortion for the user. This paper discusses various redirected walking approaches which have been proposed, including predictions of user movement via navigation meshes and simulated users, and subtle redirection techniques using blink-induced change blindness and avatar manipulation

    Optimizing Natural Walking Usage in VR using Redirected Teleportation

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    Virtual Reality (VR) has come a long way since its inception and with the recent advancements in technology, high end VR headsets are now commercially available. Although these headsets offer full motion tracking capabilities, locomotion in VR is yet to be fully solved due to space constraints, potential VR sickness and problems with retaining immersion. Teleportation is the most popular locomotion technique in VR as it allows users to safely navigate beyond the confines of the available positional tracking space without inducing VR sickness. It has been argued that the use of teleportation doesn’t facilitate the use of natural walking input which is considered to have a higher presence because teleportation is faster, requires little physical effort and uses limited available tracking space. When a user walks to the edge of the tracking space, he/she must switch to teleportation. When navigating in the same direction, available walking space does not increase, which forces users to remain stationary and continue using teleportation. We present redirected teleportation, a novel locomotion method that increases tracking space usage and natural walking input by subtle reorientation and repositioning of the user. We first analyzed the positional tendencies of the users as they played popular games implementing teleportation and found the utilization of the tracking space to be limited. We then compared redirected teleportation with regular teleportation using a navigation task in three different environments. Analysis of our data show that although redirected walking takes more time, users used significantly fewer teleports and more natural walking input while using more of the available tracking space. The increase in time is largely due to users walking more, which takes more time than using teleportation. Our results provide evidence that redirected teleportation may be a viable approach to increase the usage of natural walking input while decreasing the dependency on teleportation

    Edge-Centric Space Rescaling with Redirected Walking for Dissimilar Physical-Virtual Space Registration

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    We propose a novel space-rescaling technique for registering dissimilar physical-virtual spaces by utilizing the effects of adjusting physical space with redirected walking. Achieving a seamless immersive Virtual Reality (VR) experience requires overcoming the spatial heterogeneities between the physical and virtual spaces and accurately aligning the VR environment with the user's tracked physical space. However, existing space-matching algorithms that rely on one-to-one scale mapping are inadequate when dealing with highly dissimilar physical and virtual spaces, and redirected walking controllers could not utilize basic geometric information from physical space in the virtual space due to coordinate distortion. To address these issues, we apply relative translation gains to partitioned space grids based on the main interactable object's edge, which enables space-adaptive modification effects of physical space without coordinate distortion. Our evaluation results demonstrate the effectiveness of our algorithm in aligning the main object's edge, surface, and wall, as well as securing the largest registered area compared to alternative methods under all conditions. These findings can be used to create an immersive play area for VR content where users can receive passive feedback from the plane and edge in their physical environment.Comment: This paper has been accepted as a paper for the 2023 ISMAR conference (2023/10/16-2023/10/20) 10 pages, 5 figure

    Object Manipulation in Virtual Reality Under Increasing Levels of Translational Gain

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    Room-scale Virtual Reality (VR) has become an affordable consumer reality, with applications ranging from entertainment to productivity. However, the limited physical space available for room-scale VR in the typical home or office environment poses a significant problem. To solve this, physical spaces can be extended by amplifying the mapping of physical to virtual movement (translational gain). Although amplified movement has been used since the earliest days of VR, little is known about how it influences reach-based interactions with virtual objects, now a standard feature of consumer VR. Consequently, this paper explores the picking and placing of virtual objects in VR for the first time, with translational gains of between 1x (a one-to-one mapping of a 3.5m*3.5m virtual space to the same sized physical space) and 3x (10.5m*10.5m virtual mapped to 3.5m*3.5m physical). Results show that reaching accuracy is maintained for up to 2x gain, however going beyond this diminishes accuracy and increases simulator sickness and perceived workload. We suggest gain levels of 1.5x to 1.75x can be utilized without compromising the usability of a VR task, significantly expanding the bounds of interactive room-scale VR

    Short-Term Trajectory Prediction for Full-Immersive Multiuser Virtual Reality with Redirected Walking

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    Full-immersive multiuser Virtual Reality (VR) envisions supporting unconstrained mobility of the users in the virtual worlds, while at the same time constraining their physical movements inside VR setups through redirected walking. For enabling delivery of high data rate video content in real-time, the supporting wireless networks will leverage highly directional communication links that will "track" the users for maintaining the Line-of-Sight (LoS) connectivity. Recurrent Neural Networks (RNNs) and in particular Long Short-Term Memory (LSTM) networks have historically presented themselves as a suitable candidate for near-term movement trajectory prediction for natural human mobility, and have also recently been shown as applicable in predicting VR users' mobility under the constraints of redirected walking. In this work, we extend these initial findings by showing that Gated Recurrent Unit (GRU) networks, another candidate from the RNN family, generally outperform the traditionally utilized LSTMs. Second, we show that context from a virtual world can enhance the accuracy of the prediction if used as an additional input feature in comparison to the more traditional utilization of solely the historical physical movements of the VR users. Finally, we show that the prediction system trained on a static number of coexisting VR users be scaled to a multi-user system without significant accuracy degradation.Comment: 7 pages, 9 figures, 2 table

    Inattentional Blindness for Redirected Walking Using Dynamic Foveated Rendering

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    Redirected walking is a Virtual Reality(VR) locomotion technique which enables users to navigate virtual environments (VEs) that are spatially larger than the available physical tracked space. In this work we present a novel technique for redirected walking in VR based on the psychological phenomenon of inattentional blindness. Based on the user's visual fixation points we divide the user's view into zones. Spatially-varying rotations are applied according to the zone's importance and are rendered using foveated rendering. Our technique is real-time and applicable to small and large physical spaces. Furthermore, the proposed technique does not require the use of stimulated saccades but rather takes advantage of naturally occurring saccades and blinks for a complete refresh of the framebuffer. We performed extensive testing and present the analysis of the results of three user studies conducted for the evaluation
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