GuestXR: A Machine Learning Agent for Social Harmony in eXtended Reality
User content often stimulates antisocial interaction and abuse, representing a threat to vulnerable adults, teenagers and children. The EU-funded GuestXR project intends to develop a socially interactive multisensory platform system that uses extended reality – virtual and augmented – as a vehicle to connect people for immersive, synchronous face to face interaction with positive social results. The project will introduce a critical innovation consisting of the intervention of artificial agents that learn over time to assist the virtual social gathering in realising its purposes. This agent, ‘The Guest’, will exploit machine learning to enable the meeting towards specific results. The project will rely on neuroscience and social psychology research on group behaviour to deliver rules to agent based models.
Project domains
Publications
| Title | Type of output |
|---|---|
| Motivational Interviewing Transcripts Annotated | Dataset |
| MB-RIRs: a Synthetic Room Impulse Response Dataset | Dataset |
| Inceptor | Open-Source Tool |
| Topo-Speech | Sensory System |
Do you want to learn more or discuss about this project?
Visit the Openverse Wiki page for GuestXR
Disclaimer and intellectual property acknowledgement: the materials showcased on this page have been produced by third parties, and the OPENVERSE consortium accepts no liability for any inaccuracies therein. Responsibility for the content of each asset rests solely with its original creator. The inclusion of these outputs on this page does not, in any way, constitute an endorsement on the part of the OPENVERSE consortium. All intellectual property rights relating to the content published here remain vested in their respective owners. This page should be understood simply as a practical point of access.