- Will Sealy
- Ph.D. Candidate (Robotics)
- Montgomery Knight Building270 Ferst DriveAtlanta, GA 30332United States
Will is a fourth-year Robotics Ph.D. Candidate who earned his Bachelor's in Aerospace Engineering from North Carolina State University in 2017. He now studies both the design of decision support systems and their representative mathematical models, and how those systems in turn affect an operator's performance and cognitive state. His work focuses on how we then design these systems and models to work seamlessly with the operator and even adapt to their specific needs in real-time.
Human teams are most effective when the members of the team utilize a shared mental model (SMM), meaning a shared perception of goals and actions through effective communication and an understanding of their fellow team members' goals and likely methods. Currently humans and AI teams share no such model. At best, humans working closely with AI begin to anticipate what the AI can do and when it can be trusted, as is the case in medical decision making.