Locomotion Vault: the Extra Mile in Analyzing VR Locomotion Techniques

Luca, Massimiliano Di; Seifi, Hasti; Egan, Suzanne; González-Franco, Mar

doi:10.1145/3411764.3445319

Cited by 72 publications

(29 citation statements)

References 24 publications

(23 reference statements)

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“…Research should expand by exploring interfaces that include body movements such as stepping, leaning, and arm movements, going beyond basic walking and body rotation. The concordance framework could provide a useful taxonomy to distinguish interfaces presented within the Locomotion Vault [3]. Furthermore, research on the interaction between locomotion interfaces and piloting cues should identify the critical features of useful environmental cues.…”

Section: Discussionmentioning

confidence: 99%

The Effectiveness of Locomotion Interfaces Depends on Self-Motion Cues, Environmental Cues, and the Individual

Kelly

Gilbert

2021

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

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The proliferation of locomotion interfaces for virtual reality necessitates a framework for predicting and evaluating navigational success. Spatial updating-the process of mentally updating one's self-location during locomotion-is a core component of navigation, is easy to measure, and is sensitive to common elements of locomotion interfaces. This paper highlights three factors that influence spatial updating: body-based self-motion cues, environmental cues, and characteristics of the individual. The concordance framework, which characterizes locomotion interfaces based on agreement between body movement and movement through the environment, serves as a useful starting point for understanding the effectiveness of locomotion interfaces for enabling accurate navigation.

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Section: Discussionmentioning

confidence: 99%

The Effectiveness of Locomotion Interfaces Depends on Self-Motion Cues, Environmental Cues, and the Individual

Kelly

Gilbert

2021

2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

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“…They also found higher embodied locomotion cues for walking rather than sitting. Among other research studies focusing on interaction techniques, locomotion, and embodiment (e.g., Zielasko et al, 2016;Weise et al, 2019;Di Luca et al, 2021), Lages and Bowman (2018) focused on the effect of manipulating objects vs physically walking in the virtual environment on performance in demanding visual tasks. They found that in designing the learning environments, the creator should consider the user controller experience, past gaming experience, and spatial ability of the user.…”

Section: Sense Of Embodimentmentioning

confidence: 99%

Move The Object or Move The User: The Role of Interaction Techniques on Embodied Learning in VR

Bagher

Sajjadi

Wallgrün

et al. 2021

Front. Virtual Real.

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To incorporate immersive technologies as part of the educational curriculum, this article is an endeavor to investigate the role of two affordances that are crucial in designing embodied interactive virtual learning environments (VLEs) to enhance students’ learning experience and performance: 1) the sense of presence as a subjective affordance of the VR system, and 2) bodily engagement as an embodied affordance and the associated sense of agency that is created through interaction techniques with three-dimensional learning objects. To investigate the impact of different design choices for interaction, and how they would affect the associated sense of agency, learning experience and performance, we designed two VLEs in the context of penetrative thinking in a critical 3D task in geosciences education: understanding the cross-sections of earthquakes’ depth and geometry in subduction zones around the world. Both VLEs were web-based desktop VR applications containing 3D data that participants ran remotely on their own computers using a normal screen. In the drag and scroll condition, we facilitated bodily engagement with the 3D data through object manipulation, object manipulation. In the first-person condition, we provided the ability for the user to move in space. In other words, we compared moving the objects or moving the user in space as the interaction modalities. We found that students had a better learning experience in the drag and scroll condition, but we could not find a significant difference in the sense of presence between the two conditions. Regarding learning performance, we found a positive correlation between the sense of agency and knowledge gain in both conditions. In terms of students with low prior knowledge of the field, exposure to the VR experience in both conditions significantly improved their knowledge gain. In the matter of individual differences, we investigated the knowledge gain of students with a low penetrative thinking ability. We found that they benefited from the type of bodily engagement in the first-person condition and had a significantly higher knowledge gain than the other condition. Our results encourage in-depth studies of embodied learning in VR to design more effective embodied virtual learning environments.

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“…Many different techniques for locomotion have been developed [18,31,33,37,39,44], but in this work we focus on the RDW technique developed by Razzaque et al [34]. A recent review of VR locomotion interfaces can be found in [24]. By slowly rotating or translating the VE around the user while they walk, RDW allows users to explore virtual environments while located in smaller physical environments [33].…”

Section: Prior Work and Backgroundmentioning

confidence: 99%

Redirected Walking in Static and Dynamic Scenes Using Visibility Polygons

Williams,

Bera,

Manocha

2021

Preprint

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Fig. 1: A visualization of the geometric reasoning that our redirection controller performs on every frame in order to steer the user in the physical space. First, the controller computes the visibility polygon for the user's physical and virtual locations (the regions bounded by the blue and red edges, respectively). Next, the controller computes the region of space (part of the red visibility polygon) in front of the user that the user is walking towards in the virtual environment (yellow region in the right image). By comparing the areas of the regions, our controller computes the region in the physical space (yellow region in the left image) that is most similar to the virtual region the user is heading towards. Finally, the controller applies redirected walking gains to steer the user to walk towards the highlighted region in the physical space. Black dashed arrows indicate the user's trajectory in the environment. Our algorithm yields significantly fewer resets with physical obstacles than prior algorithms.

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Locomotion Vault: the Extra Mile in Analyzing VR Locomotion Techniques

Cited by 72 publications

References 24 publications

The Effectiveness of Locomotion Interfaces Depends on Self-Motion Cues, Environmental Cues, and the Individual

The Effectiveness of Locomotion Interfaces Depends on Self-Motion Cues, Environmental Cues, and the Individual

Move The Object or Move The User: The Role of Interaction Techniques on Embodied Learning in VR

Redirected Walking in Static and Dynamic Scenes Using Visibility Polygons

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