Design and evaluation of a novel out-of-reach selection technique for VR using iterative refinement

Mendes, Daniel; Medeiros, Daniel; Sousa, Maurício; Cordeiro, Eduardo; Ferreira, Alfredo; Jorge, Joaquim

doi:10.1016/j.cag.2017.06.003

Cited by 31 publications

(17 citation statements)

References 9 publications

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“…Progressive refinement techniques have been explored for target disambiguation in locally dense spaces by iteratively splitting the search space into smaller hierarchical regions [9,38,45]. In these techniques, users perform repeated selections until the selection contains a single object.…”

Section: Occlusion In 2d/3d Selectionmentioning

confidence: 99%

Slicing-Volume: Hybrid 3D/2D Multi-target Selection Technique for Dense Virtual Environments

Montano-Murillo

Nguyen

Kazi

et al. 2020

2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

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3D selection in dense VR environments (e.g., point clouds) is extremely challenging due to occlusion and imprecise mid-air input modalities (e.g., 3D controllers and hand gestures). In this paper, we propose "Slicing-Volume", a hybrid selection technique that enables simultaneous 3D interaction in mid-air, and a 2D penand-tablet metaphor in VR. Inspired by well-known slicing plane techniques in data visualization, our technique consists of a 3D volume that encloses target objects in mid-air, which are then projected to a 2D tablet view for precise selection on a tangible physical surface. While slicing techniques and tablets-in-VR have been previously explored, in this paper, we evaluated the potential of this hybrid approach to improve accuracy in highly occluded selection tasks, comparing different multimodal interactions (e.g., Mid-air, Virtual Tablet and Real Tablet). Our results showed that our hybrid technique significantly improved overall accuracy of selection compared to Mid-air selection only, thanks to the added haptic feedback given by the physical tablet surface, rather than the added visualization given by the tablet view.

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Section: Occlusion In 2d/3d Selectionmentioning

confidence: 99%

Slicing-Volume: Hybrid 3D/2D Multi-target Selection Technique for Dense Virtual Environments

Montano-Murillo

Nguyen

Kazi

et al. 2020

2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

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“…Reach is a category that can help developers to identify whether a technique is specialized on a distance, or it supports multiple distances. Mendes et al [38] divide the reach of an interaction technique in arm-length, scaled, and infinite. Grasping-based techniques with isomorph mapping like the Simple Virtual Hand only allow interaction in the natural working space.…”

Section: Reachmentioning

confidence: 99%

“…This involves the two components progressive refinement [38] and disambiguation mechanism [3]. Progressive refinement describes the process of reducing a set of potentially selectable objects until only the target object is left [38]. The progressive refinement strategy can be either continuous or discrete.…”

Section: Disambiguationmentioning

confidence: 99%

How Can I Grab That?

Weise

Zender

Lucke

2020

I-Com

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The selection and manipulation of objects in Virtual Reality face application developers with a substantial challenge as they need to ensure a seamless interaction in three-dimensional space. Assessing the advantages and disadvantages of selection and manipulation techniques in specific scenarios and regarding usability and user experience is a mandatory task to find suitable forms of interaction. In this article, we take a look at the most common issues arising in the interaction with objects in VR. We present a taxonomy allowing the classification of techniques regarding multiple dimensions. The issues are then associated with these dimensions. Furthermore, we analyze the results of a study comparing multiple selection techniques and present a tool allowing developers of VR applications to search for appropriate selection and manipulation techniques and to get scenario dependent suggestions based on the data of the executed study.

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“…While many studies have introduced or evaluated either selection or navigation techniques [1,2], to the best of our knowledge, no study has addressed the effect of the combination of these two interaction modalities to identify the trade-off between them. VR studies typically compare navigation and selection separately [2][3][4].…”

Section: Related Workmentioning

confidence: 99%

Analyzing the Trade-off between Selection and Navigation in VR

Malekmakan

Stuerzlinger

Riecke

2020

26th ACM Symposium on Virtual Reality Software and Technology

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Navigation and selection are critical in very large virtual environments, such as a model of a whole city. In practice, many VR applications require both of these modalities to work together. We compare different combinations of two navigation and two selection methods in VR on selection tasks involving distant targets in a user study. The aim of our work is to discover the trade-off between navigation and selection techniques and to identify which combination leads to better interaction performance in large virtual environments. The results showed that users could complete the task faster with the fly/drive method and traveled less, compared to the teleportation method. Additionally, raycasting exhibited a better performance in terms of time and (less) distance traveled, however, it significantly increased the error rate for the selection of targets.

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Design and evaluation of a novel out-of-reach selection technique for VR using iterative refinement

Cited by 31 publications

References 9 publications

Slicing-Volume: Hybrid 3D/2D Multi-target Selection Technique for Dense Virtual Environments

Slicing-Volume: Hybrid 3D/2D Multi-target Selection Technique for Dense Virtual Environments

How Can I Grab That?

Analyzing the Trade-off between Selection and Navigation in VR

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