The Use of Generative Artificial Intelligence in Cyber Awareness Training, Part 2

Abstract

This study examines how generative artificial intelligence (hereinafter: GenAI) can be applied in cybersecurity awareness training, with particular emphasis on personalization, effectiveness, and user acceptance. The theoretical section follows the ADDIE instructional design model and explores the role of GenAI in educational planning, highlighting its potential in content development, adaptive learning, and feedback mechanisms. Special attention is given to Retrieval-Augmented Generation (RAG) technologies, focusing on content accuracy and data protection considerations.

The empirical part of the research is based on a questionnaire survey conducted with 109 participants and designed according to the Technology Acceptance Model (TAM). The questionnaire included phishing simulations, an AI-generated cybersecurity scenario, and attitude-based questions. The aim of the study is to assess how non-expert users perceive and evaluate cybersecurity training materials generated by artificial intelligence, and to identify key factors influencing their acceptance and perceived usefulness.