FUSION - Future Social Interaction in XR

FUSION - XR 中的未来社交互动

基本信息

批准号：
EP/Z000432/1
负责人：
Julie Williamson
金额：
$ 220.15万
依托单位：
University of Glasgow
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2024
资助国家：
英国
起止时间：
2024 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FZ000432%2F1
关键词：
FUSION Future Social Interaction XR

项目摘要

FUSION envisions immersive technologies that create hybrid experiences continuously in everyday life. Immersive technologies will fundamentally change how we experience reality and connect with each other. This change presents unresolved challenges for how we will behave, interact, and relate to each other in a possible future where XR is always available. There is a present-future gap in immersive technologies because we do not yet understand how to stabilise interaction in hybrid reality/virtuality. Because individuals can experience materially different realities, interaction can destabilise without shared points of reference. Collisions, gaps, and mismatches between social signals as individuals move across the XR continuum are also a source of instability. To realise the potential of XR to bring us together, we need new models and techniques for enabling stable interactions in XR. FUSION proposes a novel fusion of social signals between individuals and across realities to improve how we interact in XR. This approach will advance our understanding of how people experience hybrid reality/virtuality together, enable new measurements of stability during hybrid interactions, and improve the quality of interaction in XR. FUSION will produce novel models of social signals during hybrid interactions and establish the first measurements of stability and quality for interaction in hybrid reality/virtuality.

Fusion设想了沉浸式技术，这些技术在日常生活中不断创造混合体验。沉浸式技术将从根本上改变我们体验现实并相互联系的方式。这一变化对我们的行为，互动和彼此之间的行为始终可用，提出了尚未解决的挑战。沉浸式技术存在当前的差距，因为我们尚不了解如何稳定混合现实/虚拟性中的相互作用。因为个人可以体验实质上不同的现实，所以相互作用可能会不稳定而无需共享参考点。当个人在XR连续体中移动时，社会信号之间的碰撞，差距和不匹配也是不稳定的来源。为了实现XR将我们融合在一起的潜力，我们需要新的模型和技术来实现XR中的稳定交互。 Fusion提出了个人与现实之间社会信号的新型融合，以改善我们在XR中的相互作用。这种方法将提高我们对人们如何共同体验混合现实/虚拟性的理解，实现混合互动期间稳定性的新测量，并提高XR中的相互作用质量。融合将在混合相互作用期间产生新型的社会信号模型，并建立稳定性和质量的第一个测量，用于混合现实/虚拟性中的相互作用。