@inproceedings{e13703567e1944f5ab58555746d6c610,
title = "Predicting ethical orientation based on personality for tailored cyberethics training",
abstract = "A lack of training in the ethical aspects of decision making among cybersecurity professionals can lead to an increased risk of cyber breaches. We have developed a serious game to provide training to increase players{\textquoteright} awareness of five ethical principles relevant to decision making in common cybersecurity situations. By understanding what ethical principles currently drive that individual, we plan to tailor the game{\textquoteright}s scenarios and dialogues to be more persuasive in presenting alternative viewpoints in order to improve the ethical reasoning capability of players and their ability to make ethically informed cybersecurity decisions. The literature suggests that personality is a predictor of ethical behaviour. Thus, as the basis for tailoring, we seek to use personality to predict the player{\textquoteright}s priority for each of our five focus ethical principles. This paper reports our attempts to build and validate models based on data we collected from three different studies using our cyberethics game.",
keywords = "Persuading ethical behavior, Personality, Tailored training, Cybersecurity, Serious game",
author = "Bajwa, \{Muhammad Hassan Ali\} and Deborah Richards and Paul Formosa",
year = "2024",
doi = "10.1007/978-3-031-58226-4\_6",
language = "English",
isbn = "9783031582257",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "65--74",
editor = "Nilufar Baghaei and Raian Ali and Khin Win and Kiemute Oyibo",
booktitle = "Persuasive Technology",
address = "United States",
note = "19th International Conference on Persuasive Technology, PERSUASIVE 2024 ; Conference date: 10-04-2024 Through 12-04-2024",
}