Eric Chancey

Contact Information


Dr. Eric Chancey
Crew Systems and Aviation Operations Branch (D318)

NASA Langley Research Center
Mail Stop 152
Hampton, VA 23681
Email: eric.t.chancey@nasa.gov

Bio


Eric Chancey joined the Crew Systems and Aviation Operations Branch in 2018 as an aerospace research engineer. He earned an M.S. in applied experimental psychology (2013) and Ph.D. in human factors psychology (2016) from Old Dominion University, where he studied human-automation interaction and trust.

Before joining NASA, he was a senior behavioral scientist with Leidos in Dayton, OH. During that time, he worked on human-systems integration efforts for several Air Force weapons system trainers. He also conducted training research on intelligence, surveillance, and reconnaissance (ISR) operations with the Air Force Research Laboratory (AFRL). Currently, he is the principal investigator (PI) and Activity Lead for the Human-Autonomy Teaming (HAT) Foundational Research group under NASA’s Transformational Tools and Technologies Revolutionary Aviation Mobility subproject (https://nari.arc.nasa.gov/ttt-ram/). His group conducts basic and applied research on HAT principles and tools that support increasingly autonomous, multi-vehicle small uncrewed aerial system (sUAS) operations and urban air mobility (UAM) concepts.

 

Publications since 2020


1. Yamani, Y., Sato, T., Jackson, A., Politowicz, M. S., & Chancey, E. T. (in press). A Theoretical Approach to Management of Limited Attentional Resources to Support the m:N Operation in Advanced Air Mobility Ecosystem. In W. F. Lawless, R. Mittu, D. Sofge, & H. Hesham (Eds.), Human-Machine Shared Contexts. Elsevier.

2. Buck, B. K., Chancey, E. T., Politowicz, M. S., & Underwood, M. (Under Review: Revise and Resubmit). Role-Based Ontology for designing a remote vehicle operations center. Ergonomics in Design.

3. Yamani, Y., Long, S. K., Sato, T., Braitman, A., Politowicz, M. S., & Chancey, E. T. (Under Review: Revise and Resubmit). Multi-level confirmatory analysis reveals two distinct human-automation trust constructs. Human Factors.

4. Unverricht, J. R., Buck, B. K., Petty, B. J., Chancey, E. T., Politowicz, M. S., & Glaab, L. J. (2024). Vertiport management from simulation to flight: Continued human factors assessment of vertiport operations. AIAA SciTech Forum. Orlando, FL: AIAA.

5. Prinzel, L., Krois, P., Ellis, K., Vincent, M., Stephens, C., Oza, N., Chancey, E. T., Davies, M., Mah, R., Ackerson, J., Infield, S., Kiggins, D., & Matthews, B. (2024). The adaptable and resilient safety system: The human factor in future in-time aviation safety management systems. AIAA SciTech Forum. Orlando, FL: AIAA.

6. Sato, T., Inman, J., Politowicz, M. S., Chancey, E. T., & Yamani, Y. (2023). The influence of viability, independence, and self-governance on trust and public acceptance of uncrewed air vehicle operations. Proceedings of the Human Factors and Ergonomics Society 2023 Annual Meeting. Washington, DC: HFES.

7. Sato, T., Inman, J., Politowicz, M. S., Chancey, E. T., & Yamani, Y. (2023). A meta-analytic approach to investigating the relationship between trust and attention allocation. Proceedings of the Human Factors and Ergonomics Society 2023 Annual Meeting. Washington, DC: HFES.

8. Chancey, E. T., Politowicz, M. S., Buck, B. K., Ballard, K. M., Unverricht, J., Houston, V., Chandarana, M., Le Vie, L. R. (2023). Foundational human-autonomy teaming research and development in scalable remotely operated Advanced Air Mobility operations: Research model and initial work. AIAA SciTech Forum. National Harbor, MD & Online: AIAA.

9. Politowicz, M. S., Chancey, E. T., Buck, B. K., Unverricht, J. R., & Petty, B. J. (2023). MPATH (Measuring Performance for Autonomy Teaming with Humans) Ground Control Station: Design approach and initial usability results. AIAA SciTech Forum. National Harbor, MD: AIAA.

10. Buck, B. K., Chancey, E. T., Politowicz, M. S., & Unverricht, J. (2023). A remote vehicle operations center’s role in collecting human factors data. AIAA SciTech Forum. National Harbor, MD & Online: AIAA.

11. Houston, V., Chancey, E. T., Politowicz, M. S., & Jennings, N. (2023). Intelligent Change Detection System (ICDS): A machine learning approach to combat change blindness in remote operation environments. AIAA SciTech Forum. National Harbor, MD & Online: AIAA.

12. Unverricht, J., Chancey, E. T., Politowicz, M. S., Buck, B. K., Geuther, S. C., & Ballard, K. M. (2023). Where is the human in the loop? Analysis of extended visual line of sight uncrewed aerial system operations within a remote operations environment. AIAA SciTech Forum. National Harbor, MD & Online: AIAA.

13. Chancey, E. T., & Politowicz, M. S. (2022). Designing and Training for Appropriate Trust in Increasingly Autonomous Advanced Air Mobility Operations: A Mental Model Approach (V2.0) (NASA Internal Report). Hampton, Virginia: Langley Research Center.

14. Chancey, E. T., Politowicz, M. S., Unverricht, M.S., Ballard, K.M., Buck, B. K., & Geuther, S. C. (2022). Advanced Onboard Automation Simulation: Human Factors Assessment Report. (NASA Internal Report). Hampton, Virginia: Langley Research Center. 0 maps, 10 tables, 23 figures, 92 pages, 29 references, 15 appendices.

15. Politowicz, M. S., Sato, T., Chancey, E. T., & Yamani, Y. (2022). Pathfinder Networks for measuring operator mental model structure with a simple autopilot system. Proceedings of the Human Factors and Ergonomics Society 2022 Annual Meeting. Atlanta, GA.

16. Chandarana, M., Chancey, E. T., Le Vie, L. R., & Politowicz, M. S. (2022). Evaluation of a remote data collection method to study human-automation interaction and workload. Proceedings of the Human Factors and Ergonomics Society 2022 Annual Meeting. Atlanta, GA.

17. Sato, T., Politowicz, M. S., Chancey, E. T., & Yamani, Y. (2022). Attentional considerations in Advanced Air Mobility operations: control, manage, or assist? Proceedings of the Human Factors and Ergonomics Society 2022 Annual Meeting. Atlanta, GA.

18. Unverricht, J., Chancey, E. T., Politowicz, M. S., Buck, B. K., & Geuther, S. (2022). Eye glance behaviors of ground control station operators in a simulated Urban Air Mobility environment. 41st Digital Avionics Systems Conference. Portsmouth, VA.

19. Chancey, E. T., Politowicz, M. S., & Le Vie, L. R. (2021). Enabling Advanced Air Mobility operations through appropriate trust in human-autonomy teaming: Foundational research approaches and applications. 2021 AIAA SciTech. Virtual Meeting.

20. Politowicz, M. S., Chancey, E. T., & Glaab, L. J. (2021). Effects of autonomous sUAS separation methods on subjective workload, situation awareness, and trust. 2021 AIAA SciTech. Virtual Meeting.

21. Chancey, E. T., & Politowicz, M. S. (2020). Public trust and acceptance for concepts of remotely operated Urban Air Mobility transportation. Proceedings of the Human Factors and Ergonomics Society 2020 Annual Meeting. Chicago, IL.

22. Holbrook, J. B., Prinzel III, L., J., Chancey, E. T., Shively, R. J., Feary, M. S., Dao, Q. V., Ballin, M. G., & Teubert, C. (2020). Enabling Urban Air Mobility: Human-autonomy teaming research challenges and recommendations. 2020 AIAA AVIATION. Virtual Meeting.

23. Wing, D. J., Chancey, E. T., Politowicz, M. S., & Ballin, M. G. (2020). Achieving resilient in-flight performance for Advanced Air Mobility through simplified vehicle operations. 2020 AIAA AVIATION. Virtual Meeting.

24. Chancey, E. T., & Politowicz, M. S. (2020). Designing and Training for Appropriate Trust in Increasingly Autonomous Advanced Aerial Mobility Operations: A Mental Model Approach (Version 1). (NASA Technical Memorandum-20205003378). Hampton, Virginia: Langley Research Center. 0 maps, 2 tables, 7 figures, 43 pages, 125 references, 0 appendices.

25. Chancey, E. T. (2020). Effects of Concepts of Operation Factors on Public Acceptance and Intention to Use Urban Air Mobility (UAM) – Trust and Technology Acceptance Modeling. (NASA Technical Memorandum-20205003359). Hampton, Virginia: Langley Research Center. 0 maps, 83 tables, 36 figures, 102 pages, 52 references, 13 appendices.

 

Awards/Honors


2021 – ARMD Associate Administrator Technology and Innovation Award (Group):

2021 – Topcoder Innovation Awards: