John Karasinski

About

John Karasinski is a leading researcher in human-automation and robotic (HAR) integration for deep space exploration, with a focus on ensuring crewmembers can operate complex systems autonomously when mission support is delayed. His work addresses critical challenges in spaceflight, including the effects of acute sleep deprivation on performance using the Robotics On-Board Trainer (ROBoT-r) simulation, a study that has garnered 8 citations and highlights the need for reliable, non-invasive performance monitoring. Karasinski also advances user experience (UX) in goal-oriented planning with his work on the Playbook for UAS, and he has shaped the field of explainable AI (XAI) for space exploration by surveying domain experts to define design goals and evaluation metrics. His research recommendations for deep space human-systems integration provide a systematic framework for future missions to the Moon and Mars. With a total of 18 citations across his most-cited papers, Karasinski’s contributions are instrumental in preparing astronauts for the cognitive and operational demands of long-duration exploration, making him a key voice in the intersection of human factors, automation, and spaceflight safety.

Research Focus

Key Achievements

Top Papers

1. 1
   Performance on the Robotics On-Board Trainer (ROBoT-r) Spaceflight Simulation During Acute Sleep Deprivation

   8 citations · 2020
2. 2
   Playbook for UAS: UX of Goal-Oriented Planning and Execution

   4 citations · 2018
3. 3
   XAI Design Goals and Evaluation Metrics for Space Exploration: A Survey of Human Spaceflight Domain Experts

   3 citations · 2023
4. 4
   Deep Space Human-Systems Research Recommendations for Future Human-Automation/Robotic Integration

   3 citations · 2020

Key Collaborators

Contact & Links