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29 October 2018 An intelligent virtual agent-based commentary system for small-scale cyber security competitions
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Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 1083625 (2018) https://doi.org/10.1117/12.2513948
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China
Abstract
In this paper, we developed an animated agent to serves as a commentator in small-scale cyber security competitions. The overarching aim of the system is to educate and engage novice spectators and serve as practicum for novice security analysts. In much the same way that sports commentators describe plays and moves of the game, the virtual commentator will play the same role in cyber challenge events. By providing an environment to educate those without prior expertise, we make the knowledge more accessible via system cues and interface design. To build a system to behave like its human counterpart, we observed and identified specific verbal and nonverbal behaviors of different professional commentator working with spectators. Based on the observed behaviors, we created tags to embed in text-based agent scripts. This allows the virtual commentator to interact with audiences with facial expressions and the corresponding hand gestures. Preliminary studies conducted at Bowie State University, we see that with the virtual commentator imbued with the same capabilities as its human counterparts, it has the same effect of educating novice level spectators to the cyber security dangers they may face in their daily lives. In addition, there is the added benefit of this system raising awareness in cyber security field.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruth Agada, Jie Yan, and Weifeng Xu "An intelligent virtual agent-based commentary system for small-scale cyber security competitions", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 1083625 (29 October 2018); https://doi.org/10.1117/12.2513948
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