Foundations of human-agent collaboration: situation-relevant information sharing

Project Leader: Adrian Pearce
Staff: Liz Sonenberg, Adrian Pearce
Student: Justin King, Peter Benda
Collaborators: Frank Dignum (Universiteit Utrecht)
Sponsors: Australian Research Council
Primary Contact: Adrian Pearce (
Keywords: agent based systems; complex and intelligent systems; interaction design
Disciplines: Computing and Information Systems
Domains: Networks and data in society
Research Centre: Defence Science Institute (DSI)

This project tackles a fundamental problem in collaborative systems. Human-agent robotic teamwork, also termed human-automation teamwork, involving teams comprised of software agents, robots and humans, is increasingly being exploited to carry out tasks such as remote management of air or ground vehicles and robot-assisted search and rescue operations. Such use of software assistants and physical robots to support human activities will increase in coming years. When action outcomes can be uncertain, successful collaborative activity cannot be fully pre-scripted, but must allow for adjustment as events unfold.

There is a pressing need for the development of new techniques in collaborative systems for representing and reasoning about joint task achievement in dynamic environments. As automated systems become more sophisticated in their capabilities, the design of effective interaction with human operators becomes more demanding.

The goal of this project is to discover and validate new conceptual approaches and mechanisms to support the development of human-automation teams that can coordinate and collaborate in fast changing task environments.

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