@inproceedings{08284183c11144b696e4280ead92ad71,
title = "Risk Management of Cyber Attacks on AI Systems: Computational Analysis of Interaction with an AI Coach",
abstract = "This paper explores how adaptive human-AI interaction can help people make better decisions during cyberattacks on AI systems. The focus is on phishing threats and how stress affects human responses. A network model for knowledge-level human-AI interaction with an AI coach has been designed and analysed. Both can learn and adjust their behavior over time. Simulations and What-If analysis were used to analyse how stress and decision pressure change behavior. The results show that the employee reacts less adequate under pressure while the AI coach stays stable and gives useful support in such cases. This shows that AI coaching can improve decision-making and lower the risks.",
keywords = "Adaptive network, cybersecurity, decision-making, human-AI interaction, phishing threats",
author = "Morabet, \{Younes El\} and Jan Treur and Roelofsma, \{Peter H.M.P.\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 17th International Conference on Intelligent Human Computer Interaction, IHCI 2025 ; Conference date: 14-11-2025 Through 16-11-2025",
year = "2026",
doi = "10.1007/978-3-032-26352-0\_29",
language = "English",
isbn = "9783032263513",
volume = "II",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "350--362",
editor = "Anshuman Shastri and Rajiv Singh and Tiwary, \{Uma Shanker\} and Dhananjay Singh",
booktitle = "Intelligent Human Computer Interaction",
address = "Germany",
}