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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

Spanish

En tareas colaborativas críticas a la seguridad como la búsqueda y el rescate, sin embargo, los usuarios dependen en gran medida de elementos virtuales para la percepción, la coordinación y la toma de decisiones, lo que los hace vulnerables a ataques cognitivos que distorsionan sutilmente la retroalimentación visual, el contenido virtual o la sincronización del sistema.

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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