Queuing Approaches to Principal-Agent Communication under Information Overload

TL;DR

This paper models human communication under information overload as priority queues from a principal-agent perspective, analyzing how misalignment and information asymmetry affect task management and performance.

Contribution

It introduces a principal-agent framework to analyze priority queuing in communication, highlighting the impact of misalignment and information asymmetry on performance.

Findings

Discipline can mitigate misalignment effects.

Variation in interests causes performance loss in single-agent settings.

Optimal routing of tasks can leverage variability to benefit the principal.

Abstract

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.