“SceneCam: Using AR to Improve Multi-Camera Remote Collaboration” by Rasmussen and Huang
Conference:
Experience Type(s):
Title:
- SceneCam: Using AR to Improve Multi-Camera Remote Collaboration
Presenter(s):
Description:
During multi-camera remote collaboration on physical tasks, as the name implies, multiple cameras capture different areas and perspectives of a task space. It can be challenging for the remote user to obtain the right view of the local user and to understand the spatial relationship between the disjointed views of task space areas. We present SceneCam, a prototype with which we use AR to explore different techniques for improving multi-camera remote collaboration by making optimal camera selection easier and faster for the remote user and by making the spatial relationship between task space areas explicit. To this end, SceneCam implements two camera selection techniques: nudging the remote user to select an optimal camera view of the local user, and automatic selection of an optimal camera view of the local user. Furthermore, SceneCam provides the remote user with two focus-in-context views – exocentric and egocentric views – that visualize the spatial relationship between the multiple task space areas and the local user.
References:
[1] William W. Gaver, Abigail Sellen, Christian Heath, and Paul Luff. 1993. One is Not Enough: Multiple Views in a Media Space. In Proceedings of the INTERACT ’93 and CHI ’93 Conference on Human Factors in Computing Systems(CHI ’93). ACM, New York, NY, USA, 335–341. https://doi.org/10.1145/169059.169268
[2] I. Poupyrev, T. Ichikawa, S. Weghorst, and M. Billinghurst. 1998. Egocentric Object Manipulation in Virtual Environments: Empirical Evaluation of Interaction Techniques. Computer Graphics Forum 17, 3 (Aug. 1998), 41–52. https://doi.org/10.1111/1467-8659.00252
