Email Phishing Prevention: An Explainable Nudging Approach
In Plain Terms
This paper tests whether adding plain-language AI explanations to phishing warning prompts (digital nudges) helps people avoid phishing emails. In a controlled experiment, the explainable-AI nudge improved users’ phishing-detection accuracy by about 10% and reduced their mental effort compared to a standard warning or no warning. The work shows that explaining why something looks suspicious makes security warnings more effective.
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Cite this
APA Wagner, M., Ampel, B. M., Hashim, M. J., & Chen, H. (2025). Email Phishing Prevention: An Explainable Nudging Approach. In 20th Annual Pre-ICIS Workshop on Information Security and Privacy (WISP).
BibTeX
@inproceedings{wagner2025email,
title={Email Phishing Prevention: An Explainable Nudging Approach},
author={Mason Wagner and Benjamin M. Ampel and Matthew J. Hashim and Hsinchun Chen},
booktitle={20th Annual Pre-ICIS Workshop on Information Security and Privacy (WISP)},
year={2025}
}
Benjamin M. Ampel
Assistant Professor in Computer Information Systems and Director, Center for CyberAI Research (CCAIR)
My research focuses on AI-enabled Cybersecurity, including Cyber Threat Intelligence, Large Language Models, and Phishing Detection.