An oriented point-cloud view for MR remote collaboration

Gao, Lei; Bai, Huidong; Lee, Gun; Billinghurst, Mark

doi:10.1145/2999508.2999531

Cited by 47 publications

(17 citation statements)

References 10 publications

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“…The study setup allowed participants to talk to each other physically as in prior works (Gao et al, 2016 ; Gupta et al, 2016 ), which could have been improved by using voice over IP software reflecting the typical real-world use of a remote collaboration system. As our study focused on the visual cues, we simply controlled the audio communication to be the same across the conditions.…”

Section: Discussionmentioning

confidence: 99%

The Effects of Sharing Awareness Cues in Collaborative Mixed Reality

et al. 2019

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Augmented and Virtual Reality provide unique capabilities for Mixed Reality collaboration. This paper explores how different combinations of virtual awareness cues can provide users with valuable information about their collaborator's attention and actions. In a user study (n = 32, 16 pairs), we compared different combinations of three cues: Field-of-View (FoV) frustum, Eye-gaze ray, and Head-gaze ray against a baseline condition showing only virtual representations of each collaborator's head and hands. Through a collaborative object finding and placing task, the results showed that awareness cues significantly improved user performance, usability, and subjective preferences, with the combination of the FoV frustum and the Head-gaze ray being best. This work establishes the feasibility of room-scale MR collaboration and the utility of providing virtual awareness cues.

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Section: Discussionmentioning

confidence: 99%

The Effects of Sharing Awareness Cues in Collaborative Mixed Reality

et al. 2019

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“…Gao et al [72] presented a prototype for remote guidance that uses VR headsets for both the host and the remote user. The workspaces of the worker and the helper are captured using camera depth sensors, which results in sharing 3D environment data for the remote user, who can also track the worker's viewpoint.…”

Section: Virtual Reality (Vr)mentioning

confidence: 99%

A Review on Methods and Systems for Remote Collaboration

et al. 2021

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Due to the appearance of COVID-19 in 2019, person-to-person interactions were drastically reduced. The impact of these restrictions on the economic environment was significant. For example, technical assistance for commissioning or adjusting the parameters of some complex machines/installations had to be postponed. Economic operators became interested in the possibility of remote collaboration, depending on the manufactured products and the performance of the production lines that they owned. This bibliographic research was undertaken to address these needs. The purpose of this review was to analyze the current solutions, approaches, and technologies that workers and specialists can implement to obtain a reliable remote collaboration system. This survey focuses on techniques, devices, and tools that are being used in different contexts to provide remote guidance. We present communication cues and methods being employed, the implemented technological support, and the areas that benefit from remote collaboration. We hope that our effort will be useful to those who develop such systems and people who want to learn about the existence of collaborative solutions, and that it will increase awareness about the applications and the importance of the domain. We are convinced that, with the development of communication systems, the advancement of remote support systems will be a goal for many economic operators.

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“…Huang et al [5] found that using 3D virtual hands improved the level of co-presence and participants had better spatial relations in the task space and a more immersive experience. Gao's system [28][30] used 3D pointcloud data for sharing the 3D task space and capturing 3D gestures. In their pilot study, sharing a 3D task space and gesture increased the naturalness of using the hand gesture.…”

Section: A Hand Gesture In Collaboration Systemmentioning

confidence: 99%