Representing context using the context for human and automation teams model

Abstract

The goal of representing context in a mixed initiative system is to model the information at a level of abstraction that is actionable for both the human and automated system. A potential solution to this problem is the Context for Human and Automation Teams (CHAT). This paper introduces the CHAT model and provides example implementations from several different applications such as task scheduling techniques, multi-agent systems, and human-robot interaction.