CAESAR evaluates cognitive attacks in mixed-reality rescue training
Original title: CAESAR: Mixed Reality Search-and-Rescue Platform for Cognitive Attack Evaluation
A controlled study of the latency-based attack found measurable changes in performance and behavior.
Researchers introduce CAESAR, a multi-user mixed-reality framework for testing cognitive attacks during collaborative search-and-rescue training. It places four attack classes in a synchronized scenario and records behavioral, performance and subjective data. The paper's controlled user study examines the latency-based attack and reports effects on task performance, behavior and users' subjective experience.
- The authors say prior MR attack studies were mostly isolated or single-user.
- Attacks can distort visual feedback, virtual content or synchronization.
- The reported experiment analyzes only the latency-based attack in depth.
From the original article
1 min read at arxiv.orgMixed Reality (MR) enables immersive training by tightly coupling virtual content with the physical environment and supporting embodied interaction.
By Mingyu Zhu · arxiv.org
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