Supporting workspace awareness in remote assistance through a flexible multi-camera system and Augmented Reality awareness cues
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Workspace awareness is critical for remote assistance with physical tasks, yet it remains difficult to facilitate. For example, if the remote helper is limited to the single viewpoint provided by the worker’s hand-held or head-mounted camera, she lacks the ability to gain an overview of the workspace. This may be addressed by granting the helper view-independence, e.g., through a multi-camera system. However, it can be cumbersome to set up and calibrate multiple cameras, and it can be challenging for the local worker to identify the current viewpoint of the remote helper. We present CueCam, a multi-camera remote assistance system that supports mutual workspace awareness through a flexible ad-hoc camera calibration and various Augmented Reality cues that communicate the helper’s viewpoint and focus. In particular, we propose visual cues presented through a head-mounted Augmented Reality display (Virtual Hand, Color Cue), and sound cues emitted from the cameras’ physical locations (Spatial Sound). Findings from a lab study indicate that all proposed cues effectively support the worker’s awareness of helper’s location and focus, while the Color Cue demonstrated superiority in task performance and preference ratings during a search task.
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RASMUSSEN, Troels, Tiare FEUCHTNER, Weidong HUANG, Kaj GRØNBÆK, 2022. Supporting workspace awareness in remote assistance through a flexible multi-camera system and Augmented Reality awareness cues. In: Journal of Visual Communication and Image Representation. Elsevier. 2022, 89, 103655. ISSN 1047-3203. eISSN 1095-9076. Available under: doi: 10.1016/j.jvcir.2022.103655BibTex
@article{Rasmussen2022Suppo-66137, year={2022}, doi={10.1016/j.jvcir.2022.103655}, title={Supporting workspace awareness in remote assistance through a flexible multi-camera system and Augmented Reality awareness cues}, volume={89}, issn={1047-3203}, journal={Journal of Visual Communication and Image Representation}, author={Rasmussen, Troels and Feuchtner, Tiare and Huang, Weidong and Grønbæk, Kaj}, note={Article Number: 103655} }
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