Researchers unveil 42 challenges for ubiquitous analytics as spatial computing and AI converge

A new paper from researchers at the intersection of HCI and visualization—Niklas Elmqvist, Panagiotis D. Ritsos, and Peter W. S. Butcher—lays out a comprehensive research agenda for ubiquitous analytics (UA). The authors argue that the convergence of spatial computing, generative AI, and open web standards has created a unique moment. Three major spatial operating systems now ship with platform-level scene understanding: Android XR, Meta Horizon OS, and Apple visionOS. Wearable displays range from full headsets to slim smartglasses, and agentic AI operates on the same spatial substrates as human users. This convergence enables UA: the use of many physically distributed, networked devices to support data sensemaking anytime and anywhere.

The paper traces a structured genealogy of UA's intellectual history, organizing contributions into seven clusters: cognition, context, interaction, platforms, visualization, collaboration, and evaluation. By crossing these clusters with each other, the researchers derived 42 specific future research challenges. They warn that proprietary platforms are now settling design conventions that may calcify without evidence-based alternatives. The agenda aims to provide a roadmap for researchers and designers to shape the future of ubiquitous, spatially aware data analytics before industry standards become entrenched.