TY - GEN
T1 - Spatial Perception in Immersive Visualization
T2 - 21st IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022
AU - Hu, Ping
AU - Boorboor, Saeed
AU - Jadhav, Shreeraj
AU - Marino, Joseph
AU - Mirhosseini, Seyedkoosha
AU - Kaufman, Arie E.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Spatial information understanding is fundamental to visual perception in Metaverse. Beyond the stereoscopic visual cues naturally carried in Metaverse, the human vision system may use other auxiliary information provided by any shadow casting or motion parallax available to perceive the 3D virtual world. However, the combined use of shadows and motion parallax to improve 3D perception have not been fully studied. In particular, when visualizing the combination of volumetric data and associated skeleton models in VR, how to provide the auxiliary visual cues to enhance observers' perception of the structural information is a key yet underexplored topic. This problem is particularly challenging for visualization of data in biomedical research. In this paper, we focus on immersive analytics in neurobiology where the structural information includes the relative position of objects (nuclei/cell body) in the 3D space and the spatial measurement and connectivity of segments (axons and dendrites) in a model. We present a perceptual experiment designed for understanding the consequence of shadow casting and motion parallax in the neuron structures observation and the feedback and analysis of the experiment are reported and discussed.
AB - Spatial information understanding is fundamental to visual perception in Metaverse. Beyond the stereoscopic visual cues naturally carried in Metaverse, the human vision system may use other auxiliary information provided by any shadow casting or motion parallax available to perceive the 3D virtual world. However, the combined use of shadows and motion parallax to improve 3D perception have not been fully studied. In particular, when visualizing the combination of volumetric data and associated skeleton models in VR, how to provide the auxiliary visual cues to enhance observers' perception of the structural information is a key yet underexplored topic. This problem is particularly challenging for visualization of data in biomedical research. In this paper, we focus on immersive analytics in neurobiology where the structural information includes the relative position of objects (nuclei/cell body) in the 3D space and the spatial measurement and connectivity of segments (axons and dendrites) in a model. We present a perceptual experiment designed for understanding the consequence of shadow casting and motion parallax in the neuron structures observation and the feedback and analysis of the experiment are reported and discussed.
KW - Human-centered computing-Visualization-Visualization design and evaluation methods
KW - Human-centered computing-Visualization-Visualization techniques
UR - https://www.scopus.com/pages/publications/85146051726
U2 - 10.1109/ISMAR-Adjunct57072.2022.00080
DO - 10.1109/ISMAR-Adjunct57072.2022.00080
M3 - Conference contribution
AN - SCOPUS:85146051726
T3 - Proceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022
SP - 369
EP - 372
BT - Proceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 October 2022 through 21 October 2022
ER -