TY - GEN
T1 - Exploration of large omnidirectional images in immersive environments
AU - Mirhosseini, Seyedkoosha
AU - Ghahremani, Parmida
AU - Ojar, Sushant
AU - Marino, Joseph
AU - Kaufrnan, Arie
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3
Y1 - 2019/3
N2 - Navigation is a major challenge in exploring data within immersive environments, especially of large omnidirectional spherical images. We propose a method of auto-scaling to allow users to navigate using teleportation within the safe boundary of their physical environment with different levels of focus. Our method combines physical navigation with virtual teleportation. We also propose a 'peek then warp' behavior when using a zoom lens and evaluate our system in conjunction with different teleportation transitions, including a proposed transition for exploration of omnidirectional and 360-degree panoramic imagery, termed Envelop, wherein the destination view expands out from the zoom lens to completely envelop the user. In this work, we focus on visualizing and navigating large omnidirectional or panoramic images with application to GIS visualization as an inside-out omnidirectional image of the earth. We conducted two user studies to evaluate our techniques over a search and comparison task. Our results illustrate the advantages of our techniques for navigation and exploration of omnidirectional images in an immersive environment.
AB - Navigation is a major challenge in exploring data within immersive environments, especially of large omnidirectional spherical images. We propose a method of auto-scaling to allow users to navigate using teleportation within the safe boundary of their physical environment with different levels of focus. Our method combines physical navigation with virtual teleportation. We also propose a 'peek then warp' behavior when using a zoom lens and evaluate our system in conjunction with different teleportation transitions, including a proposed transition for exploration of omnidirectional and 360-degree panoramic imagery, termed Envelop, wherein the destination view expands out from the zoom lens to completely envelop the user. In this work, we focus on visualizing and navigating large omnidirectional or panoramic images with application to GIS visualization as an inside-out omnidirectional image of the earth. We conducted two user studies to evaluate our techniques over a search and comparison task. Our results illustrate the advantages of our techniques for navigation and exploration of omnidirectional images in an immersive environment.
KW - Centered computing
KW - Centered computing
KW - Centered computing
KW - Geographic visualization
KW - HCI design and evaluation methods
KW - Human
KW - Human
KW - Human
KW - Human computer interaction (HCI)
KW - Human computer interaction (HCI)
KW - Interaction paradigms
KW - User studies
KW - Virtual reality
KW - Visualization
KW - Visualization application domains
UR - https://www.scopus.com/pages/publications/85071890719
U2 - 10.1109/VR.2019.8797777
DO - 10.1109/VR.2019.8797777
M3 - Conference contribution
AN - SCOPUS:85071890719
T3 - 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
SP - 413
EP - 422
BT - 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
Y2 - 23 March 2019 through 27 March 2019
ER -