Embodiment facilitates a powerful recognition of other perspectives. This training helps your learners leverage this moment of empathy to navigate conflicts effectively. Unlike traditional training, learners get to practice and acquire new skills in real time.
Guest XR is a groundbreaking project that harnesses the potential of extended reality (XR) to create an immersive online social space. Central to this project is “The Guest,” a machine learning agent that facilitates interaction between participants and helps them achieve their goals in XR environments. By addressing conflicts, promoting inclusivity, and detecting antisocial behavior, Guest XR aims to revolutionize digital interactions.
The Guest
Within the Guest XR project, we are developing a machine learning agent called “The Guest.” This agent analyzes individual and social behavior based on established theoretical models from neuroscience and social psychology. The Guest is trained to facilitate various types of social interactions, including conflict resolution, engagement with hearing-impaired individuals, and navigating controversial topics.
“Every gathering of people in virtual and augmented reality has a purpose – either explicit or implicit. The fundamental idea of The Guest is to help the group of people realize this purpose.”
Mel Slater, GuestXR Scientific Coordinator & Co-Founder of Kiin
Proof-of-Concept Applications
Hearing loss inclusivity
Social inclusivity application to improve communication between hearing-impaired and other people in XR.
Make participants aware
Virtual game to change users’ attitudes and behaviour towards topics such as climate change.
Innovative experiments
With 500+ scientific papers and more than 70,000 citations, our co-founders are the most published scientists in VR. We’re equipped to transform your most ambitious learning goals into scalable, easy-to-deploy immersive trainings.
Key Data
The GuestXR project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101017884.
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