Author

Lauren S. Treiman

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Preprint Sep 2026

Nebulon Enterprise Simulated Threats for Phishing Research (NEST-Phish): A Synthetic Enterprise Phishing Email Dataset for Behavioral and Machine-Learning Research

A synthetic enterprise phishing email dataset built around a fictitious organization, Nebulon, is introduced to support future work on phishing detection, human susceptibility, explainability, and benchmark development in enterprise-like contexts.

Emily Winokur, Lauren S. Treiman, Allen G. Moore et al. · 0 citations

Jul 2026

Navigating AI Errors: The Role of Mental Models in Human-AI Team Performance

It is demonstrated that error pattern effects are more evident in users’ interpretations of system behavior than in their detection performance, which advances theoretical models of monitoring and mental model development in AI-supported decision environments.

Danielle N. Sanchez, C. Lancaster, Emily Winokur et al. · Proceedings of the Human Fac... · 0 citations