Applying Human-Agent Team Concepts to the Design of Intelligent Team Tutoring Systems

Intelligent tutoring systems, having been relatively successful at emulating the results of human tutors for certain learning domains, are now being developed for intelligent team tutoring systems (ITTSs).With the addition of multiple humans in the system, modeling the communication and coordination between the humans and the tutoring agent grows combinatorically and presents significant challenges to ITTS development. Answers to some of these challenges can be found in the research field of human-agent teamwork. This paper applies common concepts in human-agent team literature (such as task allocation, adaptive automation triggers, and behavior modeling), to steps used to author a team tutor.This research should enable developers of ITTS s to draw more efficiently on research from two otherwise separate research areas.