|Introduction : Integrating Intelligent Assistants into
For this MURI project we have conducted
multidisciplinary research aimed at incorporating intelligent assistants into human teams
to increase the effectiveness of team decision making in joint planning tasks. The
research paradigm of coordination based on developing and maintaining shared mental models
provides a common perspective linking the intelligent agents research at Carnegie Mellon
University and the task directed orientation to cognitive modeling and information
presentation of the University of Pittsburgh. We are also incorporating the research in
multi-media information delivery of the Software Engineering Institute, and the team
performance studies at the Naval Air Warfare Training Systems Division.
Research from this MURI (1) provides a methodology for cognitive
modeling of member and team tasks, (2) provides principles for developing and supporting
high performance teams, (3) contributes to the understanding of agent roles and human
agent interactions in teams composed of humans and intelligent agents, (4) produces a set
of architectural principles and techniques that allow agents to cooperatively
inter-operate to provide integrated and adaptable information access, integration and
decision support, (5) results in a set of reusable agent structuring components that will
allow system developers to rapidly construct new agents for different end-user
applications, and (6) provides techniques and tools for creating, visually representing
and accessing large scale multimedia, multi-modal information including structured data as
well as speech, text, images and video.
Our findings have implications for other types of planning teams that are comprised of
multi-disciplinary experts. Examples include civilian emergency response, management, and
single service military teams.