BlendScape: Enabling End-User Customization of Video-Conferencing Environments through Generative AI
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Abstract (arXiv)
Today's video-conferencing tools support a rich range of professional and social activities, but their generic meeting environments cannot be dynamically adapted to align with distributed collaborators' needs. To enable end-user customization, we developed BlendScape, a rendering and composition system for video-conferencing participants to tailor environments to their meeting context by leveraging AI image generation techniques. BlendScape supports flexible representations of task spaces by blending users' physical or digital backgrounds into unified environments and implements multimodal interaction techniques to steer the generation. Through an exploratory study with 15 end-users, we investigated whether and how they would find value in using generative AI to customize video-conferencing environments. Participants envisioned using a system like BlendScape to facilitate collaborative activities in the future, but required further controls to mitigate distracting or unrealistic visual elements. We implemented scenarios to demonstrate BlendScape's expressiveness for supporting environment design strategies from prior work and propose composition techniques to improve the quality of environments.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 15 of its 69 references that are in the map. First posted on arXiv 20 Mar 2024.
Builds on
15 of 69 references.
References · 15
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3 more
- 2022GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Informationcited by 13
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Built on by
Citing papers per year: 2024: 1; 2025: 1; 2026: 1.
3 papers.
- 2024SpaceBlender: Creating Context-Rich Collaborative Spaces Through Generative 3D Scene Blendingcited by 3
- 2025When Generative Artificial Intelligence meets Extended Reality: A Systematic Reviewcited by 1
- 2026Generative Tutorial: Towards Live Contextualized Visual Instructions for Physical Taskscited by 0
- 2026Generative Tutorial: Towards Live Contextualized Visual Instructions for Physical Tasks21 Sep 2026
- 2025When Generative Artificial Intelligence meets Extended Reality: A Systematic Review5 Nov 2025
- 2024SpaceBlender: Creating Context-Rich Collaborative Spaces Through Generative 3D Scene Blending20 Sep 2024