Co-designing an Avatar-based Agent for Cybersecurity Training in VR for Personnel in Critical Infrastructure Sectors

Abstract

This paper provides an overview of how to design an avatar-based agent virtual reality (VR) for cybersecurity training for the transport and water sector personnel using the human-centered design approach. An agent learner interactions (EnALI) framework in survey form has been used to gather input from a target group consisting of experts-in-training and specialists currently working in the field. Content and thematic analysis were used to identify what the avatar should be able to do, how it should be perceived and the reasons behind it. The data gathered has been analyzed to produce an agent persona and use cases. The outputs highlight the need for a human-like pedagogical and facilitator agent that would support training participants to meet their learning goals. The findings of this study provide valuable insights for researchers and developers as to the implementation of avatar-based agents in VR environments for cybersecurity training.

Keywords: Avatar-based Agent, Cybersecurity Training, Human-centered Design, Agent Learner Interactions Framework

DOI: 10.54941/ahfe1007545