Conceptio › Archive › arXiv (OAI Expanded)
arXiv (OAI Expanded) open access

Augmenting Human Performance with an XR Agent Learning from Online Behavior and BCI Evidence

Li, Ziheng et al.
arXiv (OAI Expanded) · Papers
Open Source ↗Direct PDF ↓
artificial-intelligencehuman-computer-interaction
We present OLIVE, a framework for adapting a foundation model to provide real-time assistance in temporally demanding, high-stakes, and dynamic tasks. We show that passive EEG, fused online with behavioral evidence, can meaningfully extend the number of targets users detect and engage beyond their u
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 798154
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive