Craig J. Johnson

About

Craig J. Johnson is a leading researcher in the evolving field of human-machine teaming, with a primary focus on how humans, artificial intelligence, and robots collaborate effectively. His work centers on the critical dynamics of interpersonal communication and coordination within these mixed teams, exploring how information flow and adaptability impact overall team effectiveness in complex environments. A key contribution is his investigation into the subtle coordination dynamics that drive successful human-machine performance, a topic explored in his highly cited 2022 study (20 citations). Johnson also pioneered methodological frameworks for studying these interactions remotely, as detailed in his influential 2021 work on Human–AI–Robot Teaming (HART) research methods (16 citations), which addressed the unique challenges of conducting such studies during the COVID-19 pandemic. With a career spanning from early work on vision systems for robotics (1991) to contemporary teaming research, Johnson’s insights are shaping how we design and evaluate the next generation of collaborative autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Exploration of the Impact of Interpersonal Communication and Coordination Dynamics on Team Effectiveness in Human-Machine Teams

   20 citations · 2022
2. 2
   Remote research methods for Human–AI–Robot Teaming

   16 citations · 2021
3. 3
   Vision systems make robots more versatile

   3 citations · 1991

Key Collaborators

Contact & Links