Today's video-conferencing tools support a rich range of professional and
social activities, but their generic, grid-based environments cannot be easily
adapted to meet the varying needs of distributed collaborators. To enable
end-user customization, we developed BlendScape, a system for meeting
participants to compose video-conferencing environments tailored to their
collaboration context by leveraging AI image generation techniques. BlendScape
supports flexible representations of task spaces by blending users' physical or
virtual backgrounds into unified environments and implements multimodal
interaction techniques to steer the generation. Through an evaluation with 15
end-users, we investigated their customization preferences for work and social
scenarios. Participants could rapidly express their design intentions with
BlendScape and envisioned using the system to structure collaboration in future
meetings, but experienced challenges with preventing distracting elements. We
implement scenarios to demonstrate BlendScape's expressiveness in supporting
distributed collaboration techniques from prior work and propose composition
techniques to improve the quality of environments.

通过 AI 图像生成技术，BlendScape 系统支持用户自定义视频会议环境以满足他们的协作需求，通过融合用户的背景和多模态交互技术，用户能够快速表达设计意图并在未来会议中构建协作结构，但同时也遇到了防止分散注意力的挑战。