FocalSpace: Multimodal Activity Tracking, Synthetic Blur and Adapative Presentation for Video Conferencing
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 diminishi...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2014
|
| Online Access: | http://hdl.handle.net/1721.1/92275 https://orcid.org/0000-0003-2791-434X https://orcid.org/0000-0003-4918-8908 |
| Summary: | 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. |
|---|