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arXiv AI By Hyunsung Cho, Sarah Yewon Yun, Nancy Ruonan Sun, Ben Lafreniere, Mark Parent, Kashyap Todi, Tanya R. Jonker, Hrvoje Benko, Sherry Tongshuang Wu, David Lindlbauer

A Benchmarking Framework for Context-aware XR Interfaces

Read the original on arXiv AI →

The paper introduces ContextXR, a benchmarking framework designed to evaluate context‑aware interfaces in Extended Reality (XR) systems. It models an XR application as a graph of functional facets—semantically coherent groups of capabilities that support a shared user intent—and uses this representation to build MineXR++, a dataset enriched with facet‑level annotations. The framework defines three core tasks—context factor analysis, initial facet suggestion, and next facet suggestion—and evaluates suggestion methods via a simulated interaction metric that measures navigation and search cost to reach desired functionality.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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