Cody Parker
Human Factors & UX Research Specialist
Data overload is everywhere
In today’s rapidly evolving technological landscape, the explosion of data and information can easily overwhelm us. Without the right support, keeping pace with these changes becomes nearly impossible.
AI is powerful but can be confusing
AI and machine learning (AI/ML) offer solutions, aiming to make our work more efficient and allowing us to focus on what truly matters. However, the way we integrate these technologies is just as critical as the technologies themselves. For AI/ML to be truly effective, we must prioritize the user experience.
Users' needs are central to success
By thoroughly researching user needs and understanding the capabilities of AI/ML, we can design human-automation teams that are not only efficient but also user-centric. This approach ensures that the collaboration between humans and automation is stronger, smarter, and more impactful than either could be alone.
About Me
I hold a master’s degree in Human Factors Psychology from Old Dominion University, where I specialized in human-automation teaming. My research centered on improving decision-making through automation while ensuring appropriate levels of trust and situational awareness. This work not only advanced academic understanding but also had practical applications in designing systems like semi-autonomous vehicles, automated cybersecurity agents, and e-commerce platforms.
In my role as a Cognitive Systems Engineer, I apply a multidisciplinary approach that integrates systems engineering, UX/UI best practices, and cognitive psychology principles. I have led teams across government and commercial projects, conducting user research, facilitating workshops, and developing prototypes that address real-world user needs. By turning research insights into actionable design solutions, I aim to create impactful, user-centered decision support systems.
