Conceptualization of User’s Rage Assessment Using Chatbot Interface by Implementing Kansei Engineering Methodology for Information Security

Abstract

Rage is considered one of the prominent emotions that play a crucial role in information security, especially in a user’s behaviour in upholding security policies compliance. However, in current studies, there is a notable gap in the method for assessing the implication of rage as an emotion in influencing the human behaviour in protecting the security of information within an organization. Thus, there is a need to develop a method to assess a user’s rage level at any time during work time to reduce the risk of information security breach or sabotage. We are proposing on designing a chatbot rage assessment method using Kansei Engineering (KE) methodology. The method could be embedded in the organization’s information security policies as one of the security measures and serve as a preventive step to avoid any harm to the organization from the user’s rage outburst. This paper reported the preliminary study in defining and characterizing the functionality of an assessment method using a chatbot interface to measure the user’s rage level, specifically for threats in information security that may be caused by a user’s behaviour caused by the emotion of rage. Findings obtained in this research could potentially provide new essence in emotion assessment research specifically in the information security domain field through KE methodology focusing on rage and contributing to the foundation of emotion embedded artificial intelligence.