FocalSpace: Multimodal Activity Tracking, Synthetic Blur and Adapative Presentation for Video Conferencing
Name
Ishii_FocalSpace.pdf
Size
2.78 MB
Format
Adobe PDF
Checksum (MD5)
d00449f6de7166736ceb4726dc84feb6
Author(s)
Yao, Lining
DeVincenzi, Anthony
Pereira, Anna
Ishii, Hiroshi
Date Issued
July 2013
Journal
Proceedings of the 1st symposium on Spatial user interaction (SUI '13)
Publisher
Association for Computing Machinery (ACM)
Citation
Lining Yao, Anthony DeVincenzi, Anna Pereira, and Hiroshi Ishii. 2013. FocalSpace: multimodal activity tracking, synthetic blur and adaptive presentation for video conferencing. In Proceedings of the 1st symposium on Spatial user interaction (SUI '13). ACM, New York, NY, USA, 73-76.
Version
Author's final manuscript
Abstract
We introduce FocalSpace, a video conferencing system that dynamically recognizes relevant activities and objects through depth sensing and hybrid tracking of multimodal cues, such as voice, gesture, and proximity to surfaces. FocalSpace uses this information to enhance users' focus by diminishing the background through synthetic blur effects. We present scenarios that support the suppression of visual distraction, provide contextual augmentation, and enable privacy in dynamic mobile environments. Our user evaluation indicates increased memory accuracy and user preference for FocalSpace techniques compared to traditional video conferencing.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2491367.2491377
