
The GuestXR project is geared towards developing an all-encompassing virtual social platform using extended reality. The project offers a XR/VR technology (metaverse) as a meeting immersive environment where people can connect and interact. Moreover, the central feature of this project is a machine learning program known as "The Guest," whose purpose is to facilitate the communication between users and assist them in accomplishing their objectives. The objective of this innovation is to address concerns such as digital conflict and cyberbullying, facilitate engagement for individuals with communication difficulties, and identify antisocial behaviours, among other related issues. GuestXR is launching an Open Call for interested and capable individuals or organizations to participate in the development and implementation of a use case that integrates the project technology. We are looking for innovative approaches to utilizing our resources to address social issues and create a safe and inclusive environment for individuals to connect and interact. We welcome applications from individuals or organizations with diverse backgrounds, experiences and perspectives. We encourage proposals that can contribute to the project’s objectives and are committed to creating an inclusive and diverse community, and that demonstrate innovative and creative ideas for the development of this ground-breaking project.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
