Ron Daiker


Ronald “Ron” Daiker is an aerospace research engineer in the Crew Systems and Aviation Operations Branch of NASA Langley’s Research Directorate. Since joining NASA, he has contributed to a number of research activities spanning a variety of topics, including; function allocation between humans and automated systems, future airspace planning for aircraft separation assurance, human-machine autonomous teaming in battlefield environments, real-time detection and mitigation of flight crew spatial disorientation, the design of an improved launch termination display system for the Wallops Flight Facility, the design of a predictive space radiation display for manned spaceflight beyond Low Earth Orbit, and the development of a plan of research to inform the design of a medical care station for future manned missions to Mars. He is currently serving as the Lead Systems Engineer for the IMPACT Medical Database sub-project, which is tasked with the design and development of an interactive medical resource database to support crew medical needs for the upcoming Artemis missions and beyond. Prior to joining NASA, Mr. Daiker was most recently employed as a consultant for Gulfstream Aerospace Corporation in Savannah, GA, where he was responsible for the design, development, and certification of human interfaces for the G150 and G280 product lines (a product portfolio valued at over $2B). Much of his career has been focused on the design and verification of innovative human machine interfaces for a variety of aircraft (most notably Air Force One, Marine One, Bombardier C-Series, LJ145, AW-609, G150, and G280). Mr. Daiker’s primary research focus is the pursuit of synergistic user interfaces which optimize the capabilities of both humans and automation for future aerospace applications. He earned undergraduate degrees in Psychology and Political Science from St. Ambrose University, and an MS in Industrial Engineering with a concentration in Human Factors and Systems Engineering from the University of Iowa. Mr. Daiker is a member of AIAA and currently serves on the Air Transportation Systems Technical Committee.

Selected Publications

1. Harrivel, A., Lake, R., Mosher, T., Nagel, C., Levin, D., Daiker, R., Maddock, S., “MedID Accomplishments and Lessons from the Evolution of MedID”, NASA Human Research Program (HRP) Investigators’ Workshop (IWS) 2021, January 2021.

2. Daiker, R., Harrivel A., Ghatas, R., Lake, R., & Maddock, S., “Cognitive Task Analysis and Knowledge Elicitation to inform Medical Workstation Design for Long Duration Space Missions”, Applied Human Factors and Ergonomics Conference 2020, July 2020.

3. Daiker, R., Ballard, K., Ellis, K., “Evaluation of Low Cost, User-Centered Alerting Solutions for the Mitigation of Flight Crew Spatial Disorientation”, AIAA SciTech 2020. January 2020.

4. Daiker, R., Ellis, K., & Mathan, S., “Use of Real-Time Predictive Human Modelling for Spatial Disorientation Detection and Mitigation,” MODSIM (Modeling and Simulation) World Conference 2018, April 2018.

5. Daiker, R., Ghatas, R., & Vincent, M., “A Cognitive Task Analysis of Safety-Critical Launch Termination Systems”, Applied Human Factors and Ergonomics Conference 2018, July 2018.

6. Schutte, P., Williams, R., & Daiker, R. (2017). Warhorse: A New Approach to Manned/Unmanned Teaming. In 19th International Symposium on Aviation Psychology (p. 473).

7. Lewis, T. A., Aweiss, A. S., Guerreiro, N. M., and Daiker, R. J., “A Review of Function Allocation and En Route Separation Assurance,” NASA/TM-2016, August 2016.

8. Daiker, R. and Lewis, T., “A Review of Function Allocation for Separation Assurance Systems”, Applied Human Factors and Ergonomics (AHFE) Conference, 2016.

9. Daiker, R., & Schnell, T., “Development of a Human Motor Model for the Evaluation of an Integrated Alerting and Notification Flight Deck System,” MODSIM (Modeling and Simulation) World Conference, NASA/CP-2010-216205, NASA Langley Research Center, October 2009, 157-162.

10. Schnell, T., Yekhshatyan, L., Daiker, R. (2009). Effect of Luminance and Text Size on Information Acquisition Time from Traffic Signs. Transportation Research Record: Journal of the Transportation Research Board, 52-62.