Variable Timing Effects on Performance and Behavior within Human-Machine Teams
Abstract
When well designed human-agent teaming is used within a system, it provides a tremendous benefit than neither the human or automation can accomplish alone. This research sought to explore various parameters that would help in the effective design of robust adaptive automation. Agent timing and its interaction with spawn rate were explored from a performance perspective and to understand the number of times a human engages with the environment. Surprisingly, agent timing or certain user actions within the environment did not significantly affect performance but significant changes in workload were observed. Adaptive automation design seeking to maximize human-agent team performance should have a thorough understanding of the human experimentation results needed to explore the effect of an artificial agents timing on the performance of a human-agent team within a highly dynamic task environment. The research contained within explores those human experimentation results.