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CAESAR: Mixed Reality Search-and-Rescue Platform for Cognitive Attack Evaluation

Mingyu Zhu, Jiangong Chen, Yu Liu, Hillmer Chona, Zifan Zhou, Jianan Jiang, Jonathan Dodge, Feng Qian · 2026 · arXiv

DOI: 10.48550/arXiv.2610.27654 · open-access PDF

Japanese

混合現実(MR)は、仮想コンテンツを物理環境と密接に結びつけることによって浸透的なトレーニングを可能にし、実体化された相互作用をサポートします。検索と救助などの安全に重要なコラボレーションタスクでは、ユーザーは感知、連携、意思決定のための仮想要素に大きく依存し、視覚的なフィードバック、仮想コンテンツ、またはシステム同期化を微妙に歪曲する認知攻撃に脆弱になります。

Machine translation (Meta M2M100); the English original follows.

Abstract

Mixed Reality (MR) enables immersive training by tightly coupling virtual content with the physical environment and supporting embodied interaction. In safety-critical collaborative tasks such as search-and-rescue, however, users rely heavily on virtual elements for perception, coordination, and decision-making, making them vulnerable to cognitive attacks that subtly distort visual feedback, virtual content, or system synchronization. While prior MR security research has examined individual attack mechanisms, evaluations are typically conducted in isolated or single-user settings, and there is

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