2022 Research
Teammates Instead of Tools: The Impacts of Level of Autonomy on Mission Performance and Human–Agent Teaming Dynamics in Multi-Agent Distributed Teams
Rebensky, S. Carmody, K., Ficke, C., Carroll, M., & Bennet, W. (2022). Teammates instead of tools: The impacts of level of autonomy on mission performance and human-agent teaming dynamics in multi-agent distributed teams. Frontiers Robotics & AI – Ethics in Robotics and Artificial Intelligence, 9.
The importance of identifying the dimensionality of constructs employed in simulation and training for AI
Coovert, M. D., & Bennett, W. (2022). The importance of identifying the dimensionality of constructs employed in simulation and training for AI. Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 19(2), 229-236.
Don’t judge a book by its coVR: Learning and training in virtual reality: The effects of two levels of immersion
Carmody, K., & Carroll, M. (2022, pending acceptance). Don’t judge a book by its coVR: Learning and training in virtual reality: The effects of two levels of immersion. Paper accepted by The Interservice/ Industry Training, Simulation, and Education Conference (I/ITSEC) for publication.
A qualitative analysis of trust dynamics in human-agent teams (HATS)
Carmody, K., Ficke, C., Nyguyen, D., Addis, A., Rebensky, S., & Carroll, M. (2022, in press). A qualitative analysis of trust dynamics in human-agent teams (HATS). Paper accepted by The Human Factors and Ergonomics Society (HFES).
Developing a dynamic testbed: Designing for trust in complex human agent teams
Carmody, K., Nyguyen, D., & Carroll, M. (2022, in progress). Developing a dynamic testbed: Designing for trust in complex human agent teams. Paper to be submitted to the 3rd IEEE International Conference on Human-Machine Systems.
How, when, and what to adapt: Effective adaptive training through game-based development technology.
Rebensky, S., Perry, S., & Bennett, W. (2022, in press). How, when, and what to adapt: Effective adaptive training through game-based development technology. 2022 Interservice/Industry Training, Simulation, and Education Conference.
Me and My VE 2022: Human factors applications using virtual reality, mixed reality, and virtual environments
Spain, R., Bailey, S., Goldberg, B., Sall, R., Carmody, K., Ficke, C., Bayro, A., Joeong, H., Kim, Jihoon., Yeo, W.H., Figueroa, R., Pugh, Z., Mayhorn, C., & Gluck, A. (2022, in press). Me and My VE 2022: Human factors applications using virtual reality, mixed reality, and virtual environments. Paper accepted by The Interservice/ Industry Training, Simulation, and Education Conference (I/ITSEC) for publication.
Granular Estimation of User Cognitive Workload Using Brain Activity Sensors
Wang, J., Bennett, W., Stevens, C., & Yu, D. (2022). Granular Estimation of User Cognitive Workload Using Brain Activity Sensors. 2022 joint meeting of Neuroergonomics and NYC Neuromodulation Conferences. New York, NY. July 29-July 31, 2022