My Journal Papers

Drnec, K., Marathe, A. R., Lukos, J. R., & Metcalfe, J. S. (2016). From trust in automation to decision neuroscience: applying cognitive neuroscience methods to understand and improve interaction decisions involved in human automation interaction. Frontiers in human neuroscience, 10, 290.

Trust in automation lit review_Drnec et al_2016.pdf

Drnec K., Metcalfe J.S. (2016) Paradigm Development for Identifying and Validating Indicators of Trust in Automation in the Operational Environment of Human Automation Integration. In: Schmorrow D., Fidopiastis C. (eds) Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience. AC 2016. Lecture Notes in Computer Science, vol 9744. Springer, Cham. https://doi-org.wrs.idm.oclc.org/10.1007/978-3-319-39952-2_16

Paradigm_Development_for_Identifying_and_Validatin.pdf

Gremillion, G. M., Metcalfe, J. S., Marathe, A. R., Paul, V. J., Christensen, J., Drnec, K., ... & Atwater, C. (2016, May). Analysis of trust in autonomy for convoy operations. In Micro-and Nanotechnology Sensors, Systems, and Applications VIII (Vol. 9836, p. 98361Z). International Society for Optics and Photonics.

Analysis of trust in autonomy for convoy operations.pdf

Drnec, K., Gremillion, G., Donavanik, D., Canady, J. D., Atwater, C., Carter, E., ... & Metcalfe, J. S. (2018, July). The role of psychophysiological measures as implicit communication within mixed-initiative teams. In International Conference on Virtual, Augmented and Mixed Reality (pp. 299-313). Springer, Cham.

The_Role_of_Psychophysiological_Measures_as_Implic.pdf

Drnec, K., Marathe, A. R., Metcalfe, J. S., & Schaefer, K. (2016, March). The importance of psychophysiological methods in identifying and mitigating degraded situation awareness. In 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) (pp. 97-101). IEEE.

The_Importance_of_Psychophysiological_Me.pdf

Marathe, A. R., Files, B. T., Canady, J. D., Drnec, K. A., Lee, H., Kwon, H., ... & Stump, E. (2017). Heterogeneous systems for information-variable environments (hive). US Army Research Laboratory Aberdeen Proving Ground United States.

Heterogenous systems for information variable systems.pdf

Carter, E. C., Gremillion, G. M., Drnec, K., Estepp, J., Metcalfe, W. D., Nothwang, W. D., Marathe, R. A. Predicting interactions with an automated driving assistant in simulated leader-follower task, Frontiers in Robotics, 2020 in review

Predicting drivier behavior with driving automation_Carter_draft.pdf