The Just-In-Time Adaptive Artificial Augmentation Capstone Project

2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)(2023)

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摘要
Interest in assistive technologies (AT) and artificial intelligence (AI) supporting decision making and the performing difficult or dangerous tasks is experiencing continued and rapid growth. Systems of this nature have a wide range of use-cases spanning defense and commercial domains, such as aviation, air traffic control, decision support systems, emergency management, command and control, threat assessment, route planning, autonomous multi-vehicle mission oversight, power grid operations, and machine and heavy-machine operations. In line with our ongoing efforts to integrate applied, experiential learning programs into post-secondary undergraduate STEM curriculum, we propose a capstone program whereby undergraduate engineering and computer science seniors can gain valuable insight and skills by contributing to the creation of a just-in-time adaptive artificial augmentation (JIT-A3) system. The purpose of this program is to provide undergraduate senior students with a real-world, project-based experience that encompasses the complexities and realities they are likely to encounter in demanding commercial and government jobs.
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关键词
Adaptive Artificial Augmentation,UAV,Autonomous Systems,AI,Machine Learning,BCI,Computer Science Education,Assistive Technologies,Experiential Learning
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