In the information overload regime, human communication tasks such as responding to email are well-modeled as priority queues, where priority is determined by a mix of intrinsic motivation and extrinsic motivation corresponding to the task's importance to the sender. We view priority queuing from a principal-agent perspective, and characterize the effect of priority-misalignment and information asymmetry between task senders and task receivers in both single-agent and multi-agent settings. In the single-agent setting, we find that discipline can override misalignment. Although variation in human interests leads to performance loss in the single-agent setting, the same variability is useful to the principal with optimal routing of tasks, if the principal has suitable information about agents' priorities. Our approach starts to quantitatively address the effect of human dynamics in routine communication tasks.

In today's regime of information overload, it is reasonable to model a human executing routine tasks such as responding to emails as a priority queue. Humans typically prioritize task execution based on intrinsic motivators such as interest in the task, as well as extrinsic motivation stemming from the importance of the task to the sender. We view the human priority queue from the perspective of a principal-agent problem and characterize the effect of misalignment between the task sender's and task receiver's priorities. Our model provides insights into how different levels of misalignment affect delays of tasks of varying importance. Further, our approach starts to quantitatively address the effect of human dynamics in routine communication tasks, such as responding to emails.