A Comparative Analysis of 3D User Interaction: How to Move Virtual Objects in Mixed Reality

Kang, Hyo Jeong; Shin, Jung-Hye; Ponto, Kevin

doi:10.1109/vr46266.2020.00047

Cited by 47 publications

(23 citation statements)

References 36 publications

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“…As a prominent finding is that use case has a strong influence on the most appropriate interaction methods [49,82], user studies should aim to consider a more diverse range of variables and simulate realistic interaction conditions more closely. Because of the lack of diversity in study conditions, many results could be misleading, as users may even prefer different inputs in different use cases, and have better performances, after learning how to employ them [41].…”

Section: Discussionmentioning

confidence: 99%

A Review of Interaction Techniques for Immersive Environments

Spittle

Frutos-Pascual

Creed

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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The recent proliferation of immersive technology has led to the rapid adoption of consumer-ready hardware for Augmented Reality (AR) and Virtual Reality (VR). While this increase has resulted in a variety of platforms that can offer a richer interactive experience, the advances in technology bring more variability in display types, interaction sensors and use cases. This provides a spectrum of device-specific interaction possibilities, with each offering a tailor-made solution for delivering immersive experiences to users, but often with an inherent lack of standardisation across devices and applications. To address this, a systematic review and an evaluation of explicit, task-based interaction methods in immersive environments are presented in this paper. A corpus of papers published between 2013 and 2020 is reviewed to thoroughly explore state-of-the-art user studies, which investigate input methods and their implementation for immersive interaction tasks (pointing, selection, translation, rotation, scale, viewport, menu-based and abstract). Focus is given to how input methods have been applied within the spectrum of immersive technology (AR, VR, XR). This is achieved by categorising findings based on display type, input method, study type, use case and task. Results illustrate key trends surrounding the benefits and limitations of each interaction technique and highlight the gaps in current research. The review provides a foundation for understanding the current and future directions for interaction studies in immersive environments, which, at this pivotal point in XR technology adoption, provides routes forward for achieving more valuable, intuitive and natural interactive experiences.

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Section: Discussionmentioning

confidence: 99%

A Review of Interaction Techniques for Immersive Environments

Spittle

Frutos-Pascual

Creed

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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“…6DoF pose estimation using RGB images involves different fields such as bin picking problems [34], robot manipulation [35], autonomous vehicles [36], and MR applications [37].…”

Section: Related Workmentioning

confidence: 99%

Object Pose Detection to Enable 3D Interaction from 2D Equirectangular Images in Mixed Reality Educational Settings

et al. 2022

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In this paper, we address the challenge of estimating the 6DoF pose of objects in 2D equirectangular images. This solution allows the transition to the objects’ 3D model from their current pose. In particular, it finds application in the educational use of 360° videos, where it enhances the learning experience of students by making it more engaging and immersive due to the possible interaction with 3D virtual models. We developed a general approach usable for any object and shape. The only requirement is to have an accurate CAD model, even without textures of the item, whose pose must be estimated. The developed pipeline has two main steps: vehicle segmentation from the image background and estimation of the vehicle pose. To accomplish the first task, we used deep learning methods, while for the second, we developed a 360° camera simulator in Unity to generate synthetic equirectangular images used for comparison. We conducted our tests using a miniature truck model whose CAD was at our disposal. The developed algorithm was tested using a metrological analysis applied to real data. The results showed a mean difference of 1.5 with a standard deviation of 1 from the ground truth data for rotations, and 1.4 cm with a standard deviation of 1.5 cm for translations over a research range of ±20 and ±20 cm, respectively.

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“…Only very recently, several works came in favor of furthering the exploration of freehand gestures in AR and VR contexts [17] , [18] , [19] . Satriadi et al.…”

Section: Related Workmentioning

confidence: 99%

“…Kang et al. [18] compared object selection and translation in three techniques. Interviews with the subjects exposed that their direct touch and grab method provided them with a higher sense of enjoyment and discoverability.…”

Section: Related Workmentioning

confidence: 99%

Augmented situated visualization methods towards electromagnetic compatibility testing

Guarese

Andreasson

Nilsson

et al. 2021

Computers & Graphics

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Highlights Development and user assessment of an Augmented Situated Visualization of EMC data. Significant effect of the interaction methods on the time taken for data extraction. Significant effect of the interaction methods used on walking steps. Significant effect of the interaction and visualization methods on task correctness. Results suggest that specific techniques may be used depending on the task requisites.

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A Comparative Analysis of 3D User Interaction: How to Move Virtual Objects in Mixed Reality

Cited by 47 publications

References 36 publications

A Review of Interaction Techniques for Immersive Environments

A Review of Interaction Techniques for Immersive Environments

Object Pose Detection to Enable 3D Interaction from 2D Equirectangular Images in Mixed Reality Educational Settings

Augmented situated visualization methods towards electromagnetic compatibility testing

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