Rajaram, Shwetha;
Numan, Nels;
Kumaravel, Balasaravanan Thoravi;
Marquardt, Nicolai;
Wilson, Andrew D;
(2024)
BlendScape: Enabling End-User Customization of Video-Conferencing Environments through Generative AI.
In:
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology.
(pp. pp. 1-19).
Association for Computing Machinery (ACM): Pittsburgh, PA, USA.
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Abstract
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.
| Type: | Proceedings paper |
|---|---|
| Title: | BlendScape: Enabling End-User Customization of Video-Conferencing Environments through Generative AI |
| Event: | UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3654777.3676326 |
| Publisher version: | http://dx.doi.org/10.1145/3654777.3676326 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10200408 |
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