Virtual Distance Estimation in a CAVE

Marsh, William E.; Chardonnet, Jean-Rémy; Merienne, Frédéric

doi:10.1007/978-3-319-11215-2_25

Cited by 11 publications

(11 citation statements)

References 24 publications

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“…Even if the observer looks at an object on the ground 2m away entirely using eye rotation, not head rotation, that would only lead to a displacement of the horizon by 4mm in a CAVE display (the same displacement upwards as the downwards displacement of the nodal point). Since the distance underestimation of objects on the ground-plane is still reported in CAVE environments [Marsh et al 2014], this indicates that the gaze-contingent distortions identified in this paper cannot account for this distance underestimation.…”

Section: Mitigating Gaze-contingent Distortionsmentioning

confidence: 67%

Would Gaze-Contingent Rendering Improve Depth Perception in Virtual and Augmented Reality?

Linton¹

2019

Preprint

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Near distances are overestimated in virtual reality, and far distances are underestimated, but an explanation for these distortions remains elusive. One potential concern is that whilst the eye rotates to look at the virtual scene, the virtual cameras remain static. Could using eye-tracking to change the perspective of the virtual cameras as the eye rotates improve depth perception in virtual reality? This paper identifies 14 distinct perspective distortions that could in theory occur from keeping the virtual cameras fixed whilst the eye rotates in the context of near-eye displays. However, the impact of eye movements on the displayed image depends on the optical, rather than physical, distance of the display. Since the optical distance of most head-mounted displays is over 1m, most of these distortions will have only a negligible effect. The exception are ‘gaze-contingent disparities’, which will leave near virtual objects looking displaced from physical objects that are meant to be at the same distance in augmented reality.

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Section: Mitigating Gaze-contingent Distortionsmentioning

confidence: 67%

Would Gaze-Contingent Rendering Improve Depth Perception in Virtual and Augmented Reality?

Linton¹

2019

Preprint

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“…An interesting phenomenon is the differences that exist between HMDs and LIPDs, either using immersive walls [21], [17]) or CAVE systems ( [16], [13], [2]). We can highlight 3 important aspects about LIPDs on these studies: (1) underestimation effects seem to be less stronger than in HMDs, (2) the physical space between the user and the projection screen is the most important factor and, (3) the effects are asymmetric with underestimation for objects at positive stereoscopic parallax and slight overestimation with objects at zero or negative stereoscopic parallax.…”

Section: Distance and Size Perception In Vrmentioning

confidence: 99%

A perceptual calibration method to ameliorate the phenomenon of non-size-constancy in hetereogeneous VR displays

Dorado¹,

Chardonnet²,

Figueroa³

et al. 2018

EasyChair Preprints

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Abstract. The interception of the action-perception loop in virtual reality [VR] causes that understanding the effects of different display factors in spatial perception becomes a challenge. For example, studies have reported that there is not size-constancy, the perceived size of an object does not remain constant as its distance increases. This phenomenon is closely related to the reports of underestimation of distances in VR, which causes remain unclear. Despite the efforts improving the spatial cues regarding display technology and computer graphics, some interest has started to focus on the human side. In this study, we propose a perceptual calibration method which can ameliorate the effects of non-size-constancy in heterogeneous VR displays. The method was validated in a perceptual matching experiment comparing the performance between an HTC Vive HMD and a four-walls CAVE system. Results show that perceptual calibration based on interpupillary distance increments can solve partially the phenomenon of non-size-constancy in VR.

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“…One commonly reported example is underestimation of virtual distances relative to equivalent distances in the physical world [4]. These biases might relate to impoverished graphical cues, interface attributes such as locomotion effort [9], or incidental characteristics of the physical display technology such as optical accommodation [3] or salient borders [6].…”

Section: Perceptual Biasesmentioning

confidence: 99%

“…First, biases affect judgements of the CAVE walls (VW 1 ) as seen from within the PE, because judgements in the physical world are not always accurate. As users consider physical relationships when perceiving virtual distances [6], for example, inaccurate physical judgements may also affect virtual judgements. Biases in viewing VE 1 through VW 1 , due to display characteristics such as field of view or resolution, may affect a user's judgements in VR.…”

Section: Tracing the Sources Of Biasmentioning

confidence: 99%

Nested immersion: Describing and classifying augmented virtual reality

Marsh

Merienne

2015

2015 IEEE Virtual Reality (VR)

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. ABSTRACTWe present a system, intended for automotive design review use cases, that incorporates a tracked tablet in a CAVE, where both the tablet and the CAVE provide different views and interaction possibilities within the same virtual scene. At its core, this idea is not novel. However, the literature reveals few examples of this paradigm in which virtual information is presented on a second physical device to augment an immersive virtual environment. Similarly, it is unclear where the system should be positioned within existing augmented/mixed/virtual reality taxonomies. We argue that interactions occur within a nesting of virtual and physical contexts, and that formalizing these relationships is important when attempting to understand perceptual issues. The goal of this paper is, thus, to describe the new system by proposing a scheme to formally identify sources of bias and then adapting an existing taxonomy to classify such systems.

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Virtual Distance Estimation in a CAVE

Cited by 11 publications

References 24 publications

Would Gaze-Contingent Rendering Improve Depth Perception in Virtual and Augmented Reality?

Would Gaze-Contingent Rendering Improve Depth Perception in Virtual and Augmented Reality?

A perceptual calibration method to ameliorate the phenomenon of non-size-constancy in hetereogeneous VR displays

Nested immersion: Describing and classifying augmented virtual reality

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