AITentive: A Toolkit to Develop RL-based Attention Management Systems

Abstract

In today’s fast-paced world, multitasking is common and affects productivity, decision-making, and cognition. Understanding its complexities is crucial for improving well-being, efficiency, and task management. Attention management systems optimize notification and interruption timings. This work introduces AITentive, an open-source Unity3D toolkit for multitasking research and developing attention management systems with reinforcement learning. The toolkit offers customizable tasks, built-in measurements, and a uniform interface for adding tasks, using Unity ML agents to develop and train attention management systems based on user models.

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