Building Representations of Common Ground with Intelligent Agents: Papers from the AAAI Symposium
Sam Blisard and Wende Frost, Cochairs
Much of the success of natural language interaction is caused by the participants’ mutual understanding of the circumstances surrounding the communication. These circumstances range from reminiscing about a shared experience, such as a birthday party, to coordinating firefighting efforts amongst a team using joint beliefs about mutual capabilities. This mutual understanding of perceived context is termed common ground, and is made up of all of the background and shared information that will lead to the eventual success of the communication. Some measure of common ground is used in most, if not all, successful interactions between human actors. For humans to have a convincing and beneficial experience interacting with intelligent agents, the agents must have mechanisms that support the fundamentals of common ground. Otherwise, the consequence may be unsuccessful and incomplete interactions. This symposium explored diverse perspectives on common ground and its component factors. Work presented consisted of currently implemented applications that contain common ground components, theoretical formalisms of these components, proposed frameworks, and work in progress.