TY - GEN
T1 - How About the Mentor? Effective Workspace Visualization in AR Telementoring
AU - Lin, Chengyuan
AU - Rojas-Munoz, Edgar
AU - Cabrera, Maria Eugenia
AU - Sanchez-Tamayo, Natalia
AU - Andersen, Daniel
AU - Popescu, Voicu
AU - Barragan Noguera, Juan Antonio
AU - Zarzaur, Ben
AU - Murphy, Pat
AU - Anderson, Kathryn
AU - Douglas, Thomas
AU - Griffis, Clare
AU - Wachs, Juan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - Augmented Reality (AR) benefits telementoring by enhancing the communication between the mentee and the remote mentor with mentor authored graphical annotations that are directly integrated into the mentee's view of the workspace. An important problem is conveying the workspace to the mentor effectively, such that they can provide adequate guidance. AR headsets now incorporate a frontfacing video camera, which can be used to acquire the workspace. However, simply providing to the mentor this video acquired from the mentee's first-person view is inadequate. As the mentee moves their head, the mentor's visualization of the workspace changes frequently, unexpectedly, and substantially. This paper presents a method for robust high-level stabilization of a mentee first-person video to provide effective workspace visualization to a remote mentor. The visualization is stable, complete, up to date, continuous, distortion free, and rendered from the mentee's typical viewpoint, as needed to best inform the mentor of the current state of the workspace. In one study, the stabilized visualization had significant advantages over unstabilized visualization, in the context of three number matching tasks. In a second study, stabilization showed good results, in the context of surgical telementoring, specifically for cricothyroidotomy training in austere settings.
AB - Augmented Reality (AR) benefits telementoring by enhancing the communication between the mentee and the remote mentor with mentor authored graphical annotations that are directly integrated into the mentee's view of the workspace. An important problem is conveying the workspace to the mentor effectively, such that they can provide adequate guidance. AR headsets now incorporate a frontfacing video camera, which can be used to acquire the workspace. However, simply providing to the mentor this video acquired from the mentee's first-person view is inadequate. As the mentee moves their head, the mentor's visualization of the workspace changes frequently, unexpectedly, and substantially. This paper presents a method for robust high-level stabilization of a mentee first-person video to provide effective workspace visualization to a remote mentor. The visualization is stable, complete, up to date, continuous, distortion free, and rendered from the mentee's typical viewpoint, as needed to best inform the mentor of the current state of the workspace. In one study, the stabilized visualization had significant advantages over unstabilized visualization, in the context of three number matching tasks. In a second study, stabilization showed good results, in the context of surgical telementoring, specifically for cricothyroidotomy training in austere settings.
KW - Graphics systems and interfaces
KW - Human-centered computing
KW - Mixed/augmented reality
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85085474582&partnerID=8YFLogxK
U2 - 10.1109/VR46266.2020.1580934001692
DO - 10.1109/VR46266.2020.1580934001692
M3 - Conference contribution
AN - SCOPUS:85085474582
T3 - Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2020
SP - 212
EP - 220
BT - Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2020
PB - Institute of Electrical and Electronics Engineers
T2 - 27th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2020
Y2 - 22 March 2020 through 26 March 2020
ER -