Towards efficient spatial compression in self-overlapping virtual environments

Vasylevska, Khrystyna; Kaufmann, Hannes

doi:10.1109/3dui.2017.7893312

Cited by 27 publications

(10 citation statements)

References 23 publications

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“…The reason that such environments are informative is that they allow predictions to be tested that could not be distinguished in a normal environment. Non-Euclidean environments of this sort were used previously to test human cognitive maps, for example [5,[27][28][29]. Warren et al [5] created a virtual labyrinth with "wormholes" that teleported participants smoothly between locations.…”

Section: Introductionmentioning

confidence: 99%

“…Warren et al [5] created a virtual labyrinth with "wormholes" that teleported participants smoothly between locations. Vasylevska and Kaufmann [28] tested environments with spatially overlapping regions much like the environments in our experiments in order to simulate space compression for VR applications. Zetzsche [29] and Klus [27] developed impossible virtual environments that violate Euclidean metrics and planar topology.…”

Section: Introductionmentioning

confidence: 99%

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Pointing Errors in Non-metric Virtual Environments

Muryy

Glennerster

2018

Lecture Notes in Computer Science

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There have been suggestions that human navigation may depend on representations that have no metric, Euclidean interpretation but that hypothesis remains contentious. An alternative is that observers build a consistent 3D representation of space. Using immersive virtual reality, we measured the ability of observers to point to targets in mazes that had zero, one or three 'wormholes' regions where the maze changed in configuration (invisibly). In one model, we allowed the configuration of the maze to vary to best explain the pointing data; in a second model we also allowed the local reference frame to be rotated through 90, 180 or 270 degrees. The latter model outperformed the former in the wormhole conditions, inconsistent with a Euclidean cognitive map.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pointing Errors in Non-metric Virtual Environments

Muryy

Glennerster

2018

Lecture Notes in Computer Science

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“…Rather than utilising continuous imperceptible shifts to the position of the user in the VE, "impossible spaces" [47], or simply 'overlapping spaces', utilise change blindness to alter the physical layout of a space outside of the user's field of view (FOV). For example, a user sees a virtual room and, after walking into it, the layout of the space behind them is changed so that the door is in a new position, directing them into more open space [46,51] or, upon leaving a room, the user is redirected back to the same physical space where a different virtual room is now shown [52]. Alternatively, an entirely different room can be loaded behind the user, as an extension of the room currently inhabited [47].…”

Section: Impossible Spacesmentioning

confidence: 99%

Object Manipulation in Virtual Reality Under Increasing Levels of Translational Gain

Wilson

McGill

Jamieson

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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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.

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“…The reason that such environments are informative is that they allow predictions to be tested that could not be distinguished in a normal environment. Non-Euclidean environments[AG1] of this sort were used previously to test human cognitive maps, for example [5,[21][22][23]. Warren and Chrastil [5] created a virtual labyrinth with "wormholes" that teleported participants smoothly between locations.…”

Section: Introductionmentioning

confidence: 99%

“…Warren and Chrastil [5] created a virtual labyrinth with "wormholes" that teleported participants smoothly between locations. Vasylevska and Kaufmann [22] tested environments with spatially overlapping regions much like the environments in our experiments in order to simulate space compression for VR applications. Zetzsche [23] and Klus [21] developed impossible virtual environments that violate Euclidean metrics and planar topology.…”

Section: Introductionmentioning

confidence: 99%

Pointing Errors in Non-Metric Virtual Environments

Muryy

Glennerster

2018

Preprint

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Abstract. There have been suggestions that human navigation may depend on representations that have no metric, Euclidean interpretation but that hypothesis remains contentious. An alternative is that observers build a consistent 3D representation of space. Using immersive virtual reality, we measured the ability of observers to point to targets in mazes that had zero, one or three 'wormholes' -regions where the maze changed in configuration (invisibly). In one model, we allowed the configuration of the maze to vary to best explain the pointing data; in a second model we also allowed the local reference frame to be rotated through 90, 180 or 270 degrees. The latter model outperformed the former in the wormhole conditions, inconsistent with a Euclidean cognitive map.

show abstract

Towards efficient spatial compression in self-overlapping virtual environments

Cited by 27 publications

References 23 publications

Pointing Errors in Non-metric Virtual Environments

Pointing Errors in Non-metric Virtual Environments

Object Manipulation in Virtual Reality Under Increasing Levels of Translational Gain

Pointing Errors in Non-Metric Virtual Environments

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