VR Collide! Comparing Collision-Avoidance Methods Between Co-located Virtual Reality Users

Scavarelli, Anthony; Teather, Robert J.

doi:10.1145/3027063.3053180

Cited by 33 publications

(21 citation statements)

References 1 publication

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“…After testing the first version of the interfaces, we found that the sudden appearance of the safety grids while the user was navigating in the virtual world may cause an unpleasant shocking feeling, which was affirmed by the results of previous research [27]. In addition, the existing Chaperone and Tron interfaces both can gradually appear or disappear when players enter or exit the boundaries.…”

Section: Fade Effectsupporting

confidence: 56%

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Improving virtual reality safety precautions with depth sensing

Huang

Bai

Mandalika

et al. 2018

Proceedings of the 30th Australian Conference on Computer-Human Interaction

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Section: Fade Effectsupporting

confidence: 56%

“…During the experiment, the times of subjects colliding with the obstacles were recorded during every condition, which was a determinant and frequently used measure in the previous study either [27] [30] [32].…”

Section: Collision Countmentioning

confidence: 99%

Improving virtual reality safety precautions with depth sensing

Huang

Bai

Mandalika

et al. 2018

Proceedings of the 30th Australian Conference on Computer-Human Interaction

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“…Yang et al's ShareSpace system considered how a VR user and bystander might coexist in the same physical space and investigated how to allow the bystander to section off areas of the space as their own [57]. Scavarelli et al investigated notifications to prevent collisions between a VR user and nearby persons [46]. Others, meanwhile, have explored augmented reality (AR) systems to allow a bystander to better visualise the VR user's view in VR [35,44,50].…”

Section: Bidirectional Awareness and Interactions Between Vr Users And Bystandersmentioning

confidence: 99%

Safety, Power Imbalances, Ethics and Proxy Sex: Surveying In-The-Wild Interactions Between VR Users and Bystanders

O’Hagan

Williamson

McGill

et al. 2021

2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

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“…According to Scavarelli et al, displaying a 3D model is the best of these three methods, in terms of adjusting the movement speed around obstacles and ensuring the desired impression of the user. In addition, the display of a bounding box is excellent, in terms of safety, such as for collision avoidance [7]. In our proposed system, real objects are displayed as point clouds, which is similar to the mechanism of displaying a 3D model.…”

Section: Related Work 21 Augmented Reality and Real Walking With Vrmentioning

confidence: 99%

Impact Sound Generation for Audiovisual Interaction with Real-World Movable Objects in Building-Scale Virtual Reality

2021

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In building-scale VR, where the entire interior of a large-scale building is a virtual space that users can walk around in, it is very important to handle movable objects that actually exist in the real world and not in the virtual space. We propose a mechanism to dynamically detect such objects (that are not embedded in the virtual space) in advance, and then generate a sound when one is hit with a virtual stick. Moreover, in a large indoor virtual environment, there may be multiple users at the same time, and their presence may be perceived by hearing, as well as by sight, e.g., by hearing sounds such as footsteps. We, therefore, use a GAN deep learning generation system to generate the impact sound from any object. First, in order to visually display a real-world object in virtual space, its 3D data is generated using an RGB-D camera and saved, along with its position information. At the same time, we take the image of the object and break it down into parts, estimate its material, generate the sound, and associate the sound with that part. When a VR user hits the object virtually (e.g., hits it with a virtual stick), a sound is generated. We demonstrate that users can judge the material from the sound, thus confirming the effectiveness of the proposed method.

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VR Collide! Comparing Collision-Avoidance Methods Between Co-located Virtual Reality Users

Cited by 33 publications

References 1 publication

Improving virtual reality safety precautions with depth sensing

Improving virtual reality safety precautions with depth sensing

Safety, Power Imbalances, Ethics and Proxy Sex: Surveying In-The-Wild Interactions Between VR Users and Bystanders

Impact Sound Generation for Audiovisual Interaction with Real-World Movable Objects in Building-Scale Virtual Reality

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