Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Toward the holodeck: integrating graphics, sound, character and story
Proceedings of the fifth international conference on Autonomous agents
An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans
Autonomous Agents and Multi-Agent Systems
A prototype infrastructure for distributed robot-agent-person teams
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An Approach to Mixed-Initiative Management of Heterogeneous Software Agent Teams
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8 - Volume 8
COORDINATORS: Coordination Managers for First Responders
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
An integrated token-based algorithm for scalable coordination
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
The DEFACTO system: training tool for incident commanders
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Towards adjustable autonomy for the real world
Journal of Artificial Intelligence Research
Urban site modeling from LiDAR
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
Intelligent agents for the synthetic battlefield: a company of rotary wing aircraft
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Modeling social causality and responsibility judgment in multi-agent interactions
Journal of Artificial Intelligence Research
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Enabling interactions of agent-teams and humans is a critical area of research, with encouraging progress in the past few years. However, previous work suffers from three key limitations: (i) limited human situational awareness, reducing human effectiveness in directing agent teams, (ii) the agent team's rigid interaction strategies that limit team performance, and (iii) lack of formal tools to analyze the impact of such interaction strategies. This article presents a software prototype called DEFACTO (Demonstrating Effective Flexible Agent Coordination of Teams through Omnipresence). DEFACTO is based on a software proxy architecture and 3D visualization system, which addresses the three limitations mentioned above. First, the 3D visualization interface enables human virtual omnipresence in the environment, improving human situational awareness and ability to assist agents. Second, generalizing past work on adjustable autonomy, the agent team chooses among a variety of team-level interaction strategies, even excluding humans from the loop in extreme circumstances. Third, analysis tools help predict the performance of (and choose among) different interaction strategies. DEFACTO is illustrated in a future disaster response simulation scenario, and extensive experimental results are presented.